Udacity - Become a Deep Reinforcement Learning Expert v1.0.0

磁力链接/BT种子名称

Udacity - Become a Deep Reinforcement Learning Expert v1.0.0

磁力链接/BT种子简介

种子哈希：f56d49a9968d7e1e5710612ccf753e96b33e4ad1
文件大小： 2.3G
已经下载：4823次
下载速度：极快
收录时间：2024-01-17
最近下载：2025-10-07

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:F56D49A9968D7E1E5710612CCF753E96B33E4AD1
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 抖音Max TikTok成人版 PornHub 听泉鉴鲍 少女日记 草榴社区 哆哔涩漫 呦乐园 萝莉岛 悠悠禁区 悠悠禁区 拔萝卜 疯马秀

最近搜索

文件列表

  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp4 24.4 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4 22.4 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.mp4 22.0 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.mp4 22.0 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp4 21.7 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp4 21.2 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.mp4 21.1 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 20.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4 18.3 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 18.2 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp4 18.2 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp4 17.7 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.mp4 17.3 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.mp4 17.3 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 16.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.mp4 16.4 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp4 15.7 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.mp4 15.5 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.mp4 15.3 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 15.3 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp4 15.0 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp4 14.9 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp4 14.8 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp4 14.7 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 14.5 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.mp4 14.4 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.mp4 14.4 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.8 MB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 13.4 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.mp4 13.2 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.mp4 13.1 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12.6 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 12.2 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp4 11.9 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.mp4 11.6 MB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11.2 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 11.0 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp4 10.9 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.mp4 10.8 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/output.gif 10.7 MB
  • Part 02-Module 01-Lesson 01_Study Plan/img/output.gif 10.7 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/output.gif 10.7 MB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.mp4 10.6 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.6 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 10.5 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp4 10.4 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.mp4 10.4 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp4 10.3 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp4 10.1 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 10.1 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 10.0 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.mp4 9.6 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/sonic.gif 9.6 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp4 9.5 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 9.4 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.mp4 9.3 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/embedding.gif 9.2 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp4 9.1 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.mp4 8.9 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.mp4 8.8 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. Pong with PPO walkthrough-XhfhR7Z01S0.mp4 8.7 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/grad-descent.gif 8.7 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp4 8.7 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp4 8.6 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp4 8.5 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.5 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp4 8.5 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp4 8.4 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.mp4 8.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp4 8.4 MB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8.3 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp4 8.2 MB
  • Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.mp4 8.2 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 8.1 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.mp4 8.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.mp4 7.9 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/chess-game.jpg 7.9 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp4 7.8 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.mp4 7.8 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.8 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.mp4 7.7 MB
  • Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.mp4 7.6 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.mp4 7.6 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp4 7.5 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.mp4 7.5 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.mp4 7.3 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4 7.2 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp4 7.2 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp4 7.1 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp4 7.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp4 6.9 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp4 6.9 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.8 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.mp4 6.8 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.mp4 6.8 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp4 6.8 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.7 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp4 6.6 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.mp4 6.5 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.mp4 6.4 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.4 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.3 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.mp4 6.3 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp4 6.2 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.mp4 6.1 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp4 6.1 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.mp4 6.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 6.0 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.mp4 6.0 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp4 6.0 MB
  • Part 02-Module 01-Lesson 04_Navigation/img/bananas-save.gif 5.8 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.mp4 5.7 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.6 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.6 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.mp4 5.6 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.mp4 5.5 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp4 5.5 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/soccer.gif 5.5 MB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.mp4 5.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp4 5.4 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.4 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp4 5.3 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.3 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.mp4 5.2 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.mp4 5.2 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.mp4 5.1 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.mp4 5.1 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.mp4 5.1 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp4 5.0 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp4 5.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.mp4 5.0 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.mp4 4.9 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.mp4 4.9 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.mp4 4.9 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp4 4.9 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp4 4.8 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.7 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.mp4 4.6 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.mp4 4.5 MB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.5 MB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.mp4 4.5 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.5 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.mp4 4.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.mp4 4.4 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp4 4.4 MB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/42135602-b0335606-7d12-11e8-8689-dd1cf9fa11a9.gif 4.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/banana.gif 4.4 MB
  • Part 02-Module 01-Lesson 04_Navigation/img/banana.gif 4.4 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.mp4 4.3 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp4 4.2 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 4.2 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/reacher.gif 4.2 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/reacher.gif 4.2 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 4.1 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp4 4.1 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.mp4 4.0 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp4 4.0 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp4 3.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.mp4 3.7 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.7 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.7 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.6 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.6 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 1-HYV0SP9wm7g.mp4 3.6 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/09. 10 Double DQN V2-PGCEMLujiGI.mp4 3.6 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.5 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.5 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.mp4 3.5 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.5 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.mp4 3.5 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.5 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.mp4 3.4 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.4 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction-sokSgNtGj9Y.mp4 3.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/dumb-soccer.gif 3.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.mp4 3.3 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.02-pm.png 3.2 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/01. M3L601 Introduction HS V1-Nn1PblFSnP8.mp4 3.1 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/07. M3L608 Optimization SC PT3 V1-3pN77gMg788.mp4 3.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.mp4 3.1 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction-GCGqT2knFJ0.mp4 3.1 MB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.mp4 3.0 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png 3.0 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.mp4 3.0 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 3.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 3.0 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.mp4 2.9 MB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/open-agent-monitor-main.gif 2.9 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. M3 L2 C02 V1-v8tGjlc2aG4.mp4 2.8 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods-ZwIg6LDMyuo.mp4 2.7 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.mp4 2.7 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.mp4 2.7 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.mp4 2.7 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/bipedal-walker.gif 2.6 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.58.16-pm.png 2.5 MB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.mp4 2.5 MB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.mp4 2.4 MB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.mp4 2.4 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp4 2.4 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 2-U_CV-UC9G2c.mp4 2.3 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.3 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/environment.png 2.3 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/04. Untitled-i2gVvXgOMnc.mp4 2.3 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.mp4 2.2 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.mp4 2.2 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/06. M3L607 Optimization SC PT2 V1-JzL66ZbTC9U.mp4 2.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. M3 L2 C07 V3-2poDljPvY58.mp4 2.2 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.mp4 2.2 MB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/openaigym-gif.gif 2.2 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.mp4 2.1 MB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/run-main.gif 2.1 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.mp4 2.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.mp4 2.0 MB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/05. M3L606 Optimization SC PT1 V1-6NiRtFyA2DU.mp4 1.9 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.8 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment-tfZw1moB25Y.mp4 1.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-11.36.43-am.png 1.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/11. 10 Dueling DQN V2-zZeHbPs39Ls.mp4 1.7 MB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.7 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.7 MB
  • Part 02-Module 01-Lesson 04_Navigation/04. Getting Started-ltz2GhFv04A.mp4 1.7 MB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png 1.6 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. M3 L2 C05 V1-0XzzqIXyax0.mp4 1.6 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/frozen-lake-6.jpg 1.6 MB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 03 Transitioning-BvDvxw8e0CY.mp4 1.5 MB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/03. Untitled-kxDvrkg8ep0.mp4 1.5 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.mp4 1.5 MB
  • assets.zip 1.5 MB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/t-sne-mnist.png 1.4 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.mp4 1.4 MB
  • Part 02-Module 01-Lesson 04_Navigation/img/2018-02-27-16-05-37.gif 1.4 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/2018-02-27-16-05-37.gif 1.4 MB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/2018-02-27-16-05-37.gif 1.4 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-2.49.48-pm.png 1.3 MB
  • Part 01-Module 01-Lesson 12_What's Next/img/dqn.png 1.3 MB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.mp4 1.3 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-2.51.59-pm.png 1.3 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. L601 Intro RENDER V2-3H5x0lstvmo.mp4 1.2 MB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/mjg2mzcyma.gif 1.2 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-06-26-at-11.53.35-am.png 1.2 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.28-pm.png 1.2 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-3.14.47-pm.png 1.1 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.42-pm.png 1.1 MB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.56-pm.png 1.1 MB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.mp4 1.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/img/luis-circle.png 1.1 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/statevalue.png 1.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.mp4 1.0 MB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.mp4 949.3 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/image4.gif 948.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.mp4 839.5 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/open-terminal.gif 838.9 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/soccer.png 821.2 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.mp4 793.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/screen-shot-2018-07-06-at-11.33.53-am.png 777.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/get-hired-with-the-udacity-career-portal.gif 774.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.00.25-pm.png 772.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-23-at-8.35.17-pm.png 754.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.08.36-pm.png 737.5 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-04-at-4.58.58-pm.png 733.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6509638772.gif 728.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/qtable2.png 687.2 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/crawler.png 653.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/actionvalue.png 643.5 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-24-at-4.28.04-pm.png 637.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/go.jpg 629.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/profile-pics.jpg 609.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 583.0 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/screen-shot-2018-07-27-at-2.25.43-pm.png 564.0 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png 541.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-23-at-8.35.25-pm.png 530.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-06-at-4.54.39-pm.png 506.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/armenv.png 496.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-08-31-at-3.27.10-pm.png 474.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6485174133.gif 469.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.47.51-pm.png 461.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6499079068.gif 456.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6551597473.gif 455.0 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-9.38.24-am.png 451.5 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image4.png 446.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/screen-shot-2018-06-30-at-6.40.09-pm.png 437.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-9.55.20-am.png 424.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/cezanne-circle.png 421.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-2.18.38-pm.png 415.6 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/game-example.gif 409.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.mp4 404.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.35.07-pm.png 401.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.08.30-pm.png 398.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/mat-leonard-circle.png 394.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/img/mat-leonard-circle.png 394.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/value-iteration.png 390.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/we-can-do-it-poster-1393770492mjo.jpg 390.1 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png 384.6 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/episode.png 382.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/arpan-headshot.png 379.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/rainbow-1445337690d8q.jpg 379.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/qtable.png 377.8 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png 374.8 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/screen-shot-2018-06-08-at-1.04.47-pm.png 355.8 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/02. Training an agent to play atari-pong!-w27mvWFBnvQ.mp4 345.5 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2017-12-17-at-12.49.34-pm.png 340.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/cartpole.gif 334.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/alexis.jpg 321.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-24-at-11.45.52-am.png 313.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/screen-shot-2018-08-16-at-4.37.07-pm.png 308.9 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-09-at-6.28.07-pm.png 307.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/fruit.gif 292.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/dqn.png 284.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2018-01-08-at-5.38.03-am.png 282.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/truncated-iter.png 280.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-04-at-5.01.26-pm.png 278.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/policy-eval.png 265.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-11.03.16-pm.png 265.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/screen-shot-2018-06-12-at-5.07.10-pm.png 263.6 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/rl-gazebo-fall.png 262.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/matengai-of-kuniga-coast-in-oki-island-shimane-pref600.jpg 252.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-07-01-at-10.54.05-am.png 251.2 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/ud272-l2-16-10-aws-account.png 247.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/iteration.png 247.2 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png 244.7 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/redacted-linkedinresults.png 236.3 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image8.png 233.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/truncated-eval.png 230.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-07-11-at-11.19.56-am.png 229.9 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.55.40-pm.png 227.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/grokking-deeprl.png 225.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-4.22.09-pm.png 224.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-12.20.50-pm.png 215.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/exploration-vs.-exploitation.png 209.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/exploration-vs.-exploitation.png 209.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-12.20.30-pm.png 208.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-21-at-12.20.30-pm.png 208.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.11.40-pm.png 205.5 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-06-13-at-12.58.03-pm.png 201.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/screen-shot-2018-06-30-at-7.03.40-pm.png 198.5 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/p2-limit-increase.png 192.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/1omsg2-mkguagky1c64uflw.gif 188.4 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/new-tab.gif 185.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/pup.jpg 185.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-4.49.51-pm.png 180.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-10-at-6.10.16-pm.png 180.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-10-at-6.10.16-pm.png 180.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/2-card-21.png 180.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-05-at-1.20.10-pm.png 177.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/vgg-16.png 177.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/849-1234251683jkyt.jpg 164.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/849-1234251683jkyt.jpg 164.9 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/849-1234251683jkyt.jpg 164.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-12-17-at-9.41.03-am.png 162.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-3.08.03-pm.png 156.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/est-action.png 154.2 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-submit.png 149.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-10.30.15-am.png 148.6 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-notebook.png 146.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-04-30-at-10.27.56-am.png 145.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-06-28-at-6.46.54-pm.png 137.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/p2xlarge-limit-request.png 132.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/poker-hand-3-of-a-kind.png 131.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/improve.png 127.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/switch.png 125.8 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/tennis.png 123.3 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/cover.jpg 116.4 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/backgammonboard.svg.png 115.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/mountain-car-cts.gif 115.3 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.38.47-pm.png 113.2 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/dueling-q-network.png 112.0 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/udacitylogo.jpg 109.9 kB
  • Part 02-Module 01-Lesson 01_Study Plan/img/udacitylogo.jpg 109.9 kB
  • Part 03-Module 01-Lesson 01_Study Plan/img/udacitylogo.jpg 109.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/udacitylogo.jpg 109.9 kB
  • Part 04-Module 01-Lesson 01_Study Plan/img/udacitylogo.jpg 109.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/article-2278590-1792e332000005dc-394-634x615.jpg 105.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/lunar-lander.gif 103.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-07-01-at-11.28.57-am.png 103.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-0.gif 96.8 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-menu.png 96.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/img/regularization-quiz.png 90.0 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-05-03-at-9.10.50-am.png 89.1 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/img/copy-of-template.png 88.6 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-new.png 87.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-05-at-3.55.40-pm.png 86.7 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-jupyter.png 85.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.47.43-pm.png 83.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-6.02.37-pm.png 80.7 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-05-02-at-4.56.45-pm.png 78.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-2.png 77.7 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/screen-shot-2018-07-17-at-4.44.10-pm.png 76.0 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/paper-notes.png 69.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-5.51.40-pm.png 66.1 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/nv-rl-stack-diagram.jpg 61.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/copy-of-template-1.png 61.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/while.png 58.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2017-10-17-at-11.02.44-am.png 57.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/img/vectors.png 57.7 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-12.02.03-pm.png 57.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-3.25.10-pm.png 56.9 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/img/clipped-surrogate.png 56.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-9.18.00-pm.png 53.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-3.46.12-pm.png 53.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/for.png 52.2 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/img/policy-reward-cliff.png 51.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-2.43.07-pm.png 51.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/img/clipped-surrogate-explained.png 51.3 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/stop.png 48.7 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/screen-shot-2018-04-14-at-3.13.15-pm.png 48.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/menuopen.jpg 48.2 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/workspaces-terminal.png 48.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/layer-1-grid.png 46.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/aws-add-sec-group.png 42.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/screen-shot-2018-07-01-at-11.19.22-am.png 42.5 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-3.16.47-pm.png 41.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/untitled-drawing.jpg 41.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/emptyterminal.jpg 40.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/texteditor.jpg 40.4 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/udacitylogo-copy.png 38.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/jupyter.png 37.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/jupyter.png 37.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/jupyter.png 37.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/img/jupyter.png 37.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/jupyter.png 37.7 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/jupyter.png 37.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/menu.jpg 37.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/files.jpg 37.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-01-at-11.10.05-pm.png 36.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/grid-layer-1.png 36.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-2.33.19-pm.png 35.9 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/img/cli.jpg 35.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-03-07-at-3.53.08-pm.png 35.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/screen-shot-2018-05-03-at-11.30.05-pm.png 35.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/screen-shot-2018-05-02-at-12.24.35-am.png 34.4 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2018-01-08-at-5.37.22-am.png 34.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-01-at-11.12.36-pm.png 33.2 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/screen-shot-2018-07-27-at-1.24.38-pm.png 31.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/latex-image-1-copy.png 29.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-20-at-12.02.06-pm.png 28.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-09-20-at-12.02.06-pm.png 28.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-4.34.08-pm.png 27.5 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/unity-wide.png 27.4 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/unity-wide.png 27.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/img/unity-wide.png 27.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-25-at-11.35.38-am.png 25.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-09-25-at-11.35.38-am.png 25.8 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/pic3.png 25.3 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/aws-inst-stats.png 24.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 23.4 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/launch-instance.png 23.1 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/11. Inclusion Guards.html 22.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt 22.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/my-drawing.png 21.8 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.en.vtt 20.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-1.gif 19.6 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/350px-normal-distribution-pdf.png 19.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt 19.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.en.vtt 18.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt 18.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/img/idea-2579308-640.jpg 17.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/idea-2579308-640.jpg 17.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.en.vtt 17.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/speaking.png 17.5 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/17. Matrix Functions.html 17.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/18. If and Boolean Logic.html 17.3 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/14. Class Function Declarations.html 17.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt 17.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/14. Exploration vs. Exploitation.html 17.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/19. Instantiate an Object.html 16.3 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/review-and-launch.png 16.1 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Rubric - Improve Your LinkedIn Profile.html 15.9 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/15. Constructor Functions.html 15.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/04. Structuring Functions and File Organization.html 15.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. Epsilon-Greedy Policies.html 15.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/24. Last Feature Vector and t-SNE.html 15.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt 14.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/16. Quiz One-Step Dynamics, Part 2.html 14.7 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/09. Private and Public.html 14.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/20. Visualizing CNNs (Part 2).html 14.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/11. Common Errors and Error Messages.html 14.4 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/03. Overview of the ND Program.html 14.3 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. Memory and the CPU.html 14.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/16. Quiz Check Your Understanding.html 14.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/06. Deadline Policy.html 14.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt 14.2 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/unknown.png 14.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/02. Python vs. C++.html 13.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/27. Summary.html 13.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt 13.8 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/aws-create-account.png 13.8 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.en.vtt 13.8 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/06. Practice Using a Class.html 13.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/img/embeddedlogo-04.png 13.5 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/16. Set and Get Functions.html 13.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Embedded Terminal Explanation.html 13.5 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/01. Opportunities in DRL.html 13.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/20. Switch Statement.html 13.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/06. An Iterative Method, Part 2.html 13.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-10-02-at-10.41.44-am.png 13.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.en.vtt 13.1 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/edit-security-group.png 13.1 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/03. Optimization Techniques.html 13.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/09. Quiz Goals and Rewards.html 13.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. Gridworld Example.html 13.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/13. Anatomy of a Function.html 12.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/12. Quiz Optimal Policies.html 12.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/09. Implementation.html 12.8 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/10. Header Files.html 12.7 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. MC Prediction - Part 3.html 12.7 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/06. Fruit Sample.html 12.7 kB
  • Part 08-Module 01-Lesson 03_Practical C++/06. Reading in Text Files.html 12.7 kB
  • Part 08-Module 01-Lesson 03_Practical C++/02. Running Code Locally.html 12.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/21. Libraries.html 12.7 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/02. Software Development and Optimization.html 12.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/04. Quiz Test Your Intuition.html 12.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/19. Summary.html 12.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/05. Python and C++ Comparison.html 12.6 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/07. Quiz State-Value Functions.html 12.6 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/05. Launch an Instance.html 12.5 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/04. Using a Class in C++ [Demo].html 12.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/25. Occlusion, Saliency, and Guided Backpropagation.html 12.4 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/04. Catch Sample.html 12.4 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/18. Use an Inclusion Guard.html 12.3 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/03. Quiz Interpret the Policy.html 12.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/11. Action Values.html 12.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/19. Summary.html 12.2 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/19. While and For Loops.html 12.1 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/06. Benchmark Implementation.html 12.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/12. Quiz Pole-Balancing.html 12.0 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/06. (Optional) Derivation.html 11.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/03. More on the Policy.html 11.9 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/02. Introduction to Workspaces.html 11.8 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/index.jpg 11.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. Summary of Feature Viz.html 11.7 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO part 2- Clipping Policy Updates.html 11.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/screen-shot-2017-10-27-at-1.49.58-pm.png 11.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. Binary.html 11.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/04. The Environment - Explore.html 11.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt 11.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/09. Floating versus Double [demonstration].html 11.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/07. Quiz An Iterative Method.html 11.5 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/06. Vectors and For Loops.html 11.5 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. CC++ API.html 11.5 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/02. Namespaces.html 11.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/18. Finite MDPs.html 11.3 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/07. Review Anatomy of a Class.html 11.2 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 11.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Neural Network Architecture.html 11.1 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/02. Instructions.html 11.1 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/07. Rover Sample.html 11.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/15. Quiz One-Step Dynamics, Part 1.html 11.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/07. C++ - A Statically Typed Language.html 11.1 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/08. 1D Vector Playground.html 11.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/13. Summary.html 11.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt 10.9 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/05. Defining Layers in PyTorch.html 10.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/05. Quiz Sarsa.html 10.8 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/06. Policy Gradient Quiz.html 10.7 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/09. Quiz Expected Sarsa.html 10.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/10. Fully-Connected Layers, VGG-16.html 10.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/07. Quiz Q-Learning.html 10.7 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling.html 10.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt 10.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html 10.6 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/03. The Environment - Explore.html 10.6 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/04. Dead Code.html 10.6 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/03. OpenAI Gym.html 10.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation.html 10.6 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/01. Introduction.html 10.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/26. Check Your Understanding.html 10.5 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations.html 10.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Get Opportunities with LinkedIn.html 10.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/07. Profile Essentials.html 10.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/03. CNN Architecture, VGG-16.html 10.5 kB
  • Part 02-Module 01-Lesson 04_Navigation/04. The Environment - Explore.html 10.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/02. OpenAI Gym FrozenLakeEnv.html 10.4 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/13. Class Variables.html 10.4 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Review Dropout.html 10.4 kB
  • Part 02-Module 01-Lesson 04_Navigation/Project Rubric - Navigation.html 10.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. Constant-alpha.html 10.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.en.vtt 10.3 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/08. Basic Data Types.html 10.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. Intro to Computer Hardware.html 10.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt 10.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/24. Implementation.html 10.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/12. C++ Functions.html 10.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/12. Training in PyTorch.html 10.0 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/14. References.html 10.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks.html 10.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. Incremental Mean.html 9.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html 9.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/09. Build and Strengthen Your Network.html 9.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/03. Your Workspace.html 9.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/21. Implementation.html 9.8 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/01. C++ Vectors.html 9.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods.html 9.8 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/Project Rubric - Continuous Control.html 9.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/13. MC Control.html 9.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/15. Implementation.html 9.8 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.en.vtt 9.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/12. Summary.html 9.7 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. Lesson Outline and Data.html 9.6 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/07. Udacity Support.html 9.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/02. The Environment - Introduction.html 9.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt 9.6 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/05. Explanation of the Main.cpp File.html 9.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html 9.6 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/01. Learning Plan.html 9.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt 9.4 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.en.vtt 9.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/11. Commit messages best practices.html 9.4 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/06. If Statements.html 9.4 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/10. TD Control Theory and Practice.html 9.4 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/Project Rubric - Collaboration and Competition.html 9.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets.html 9.3 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/10. Summary.html 9.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO part 1- The Surrogate Function.html 9.3 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/17. Static Keyword.html 9.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.en.vtt 9.3 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/12. Rainbow.html 9.2 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/03. Workspaces Best Practices.html 9.2 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name.html 9.2 kB
  • Part 08-Module 01-Lesson 03_Practical C++/03. C++ Versions.html 9.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.pt-BR.vtt 9.2 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/img/launch.png 9.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/12. Implementation.html 9.1 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction.html 9.1 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. What are Policy Gradient Methods.html 9.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/01. Introducing Arpan.html 9.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/05. Quiz Episodic or Continuing.html 9.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 9.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/08. Work Experiences Accomplishments.html 9.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/05. Use Your Elevator Pitch on LinkedIn.html 9.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.pt-BR.vtt 9.0 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/09. 2D Vectors.html 9.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview.html 9.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/10. (Optional) Challenge Learning from Pixels.html 9.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa.html 9.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.en.vtt 8.9 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/11. (Optional) Challenge Crawl.html 8.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay.html 8.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/02. Review MC Control Methods.html 8.9 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. Review.html 8.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/04. Initializing Vector Values.html 8.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.en.vtt 8.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/07. Pooling, VGG-16 Architecture.html 8.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/11. 2D Vector Playground.html 8.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/14. Lab Instructions.html 8.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Projects You Will Build.html 8.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt 8.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/15. Analyzing Performance.html 8.8 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt 8.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/07. OpenAI Gym BlackJackEnv.html 8.8 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/06. Create Your Profile With SEO In Mind.html 8.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/12. Workspace - Introduction.html 8.7 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/08. Workspace - Introduction.html 8.7 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/08. (Optional) Challenge Play Soccer.html 8.6 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. A Basic Actor-Critic Agent.html 8.6 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/07. Not sure where to start.html 8.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/10. Reaching Out on LinkedIn.html 8.6 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/03. Get Access to GPU Instances.html 8.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL.html 8.5 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/Project Description - Continuous Control.html 8.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.zh-CN.vtt 8.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.pt-BR.vtt 8.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories.html 8.4 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/12. Vector Storage.html 8.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. Monte Carlo Methods.html 8.4 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/07. Math and Vectors.html 8.4 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/09. Collaborate!.html 8.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/Project Description - Navigation.html 8.3 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/10. Intermediate Variables.html 8.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.zh-CN.vtt 8.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.en.vtt 8.3 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/10. OpenAI Request for Research.html 8.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.en.vtt 8.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/11. OpenAI Gym CliffWalkingEnv.html 8.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/08. Collaborate!.html 8.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/18. Implementation.html 8.2 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. Coding Exercise.html 8.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.pt-BR.vtt 8.2 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. REINFORCE.html 8.1 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt 8.1 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment.html 8.1 kB
  • Part 02-Module 01-Lesson 04_Navigation/07. Not sure where to start.html 8.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/14. Multiple Outputs.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/01. Introducing Cezanne.html 8.1 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/06. Collaborate!.html 8.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. MC Prediction - Part 2.html 8.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/06. Notebook Visualizing a Convolutional Layer.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/13. Notebook Fashion MNIST Training Exercise.html 8.1 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/05. Project Instructions.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/22. Notebook Feature Viz for FashionMNIST.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/09. Notebook Visualizing a Pooling Layer.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/23. Notebook Visualize Your Net Layers.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/11. Notebook Visualizing FashionMNIST.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/14. Notebook FashionMNIST, Solution 1.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/16. Notebook FashionMNIST, Solution 2.html 8.1 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/01. Introduction.html 8.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1.html 8.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. Greedy Policies.html 8.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.pt-BR.vtt 8.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/17. Summary.html 8.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. Visualizing Activations.html 8.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/02. The Environment - Introduction.html 8.0 kB
  • Part 02-Module 01-Lesson 04_Navigation/05. Project Instructions.html 8.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.en.vtt 8.0 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction.html 7.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Use Your Story to Stand Out.html 7.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/08. Community Guidelines.html 7.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example.html 7.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers.html 7.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1.html 7.9 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/11. Boost Your Visibility.html 7.9 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/08. Arm Sample.html 7.8 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2.html 7.8 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/08. For Loops.html 7.8 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. Introduction.html 7.8 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/04. Project Instructions.html 7.8 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/02. The Environment - Introduction.html 7.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/07. Outputting to Text Files.html 7.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/08. Exercises.html 7.8 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. The Big Picture.html 7.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.pt-BR.vtt 7.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/10. Mini Project DP (Parts 0 and 1).html 7.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/13. Mini Project DP (Part 2).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/16. Mini Project DP (Part 3).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/19. Mini Project DP (Part 4).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/22. Mini Project DP (Part 5).html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/25. Mini Project DP (Part 6).html 7.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/03. Elecia White.html 7.7 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/03. The Environment - Real World.html 7.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. Feedforward.html 7.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/06. Coding Exercise.html 7.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.en.vtt 7.7 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. AlphaZero Preview.html 7.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.7 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/05. Benchmark Implementation.html 7.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages.html 7.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. First Convolutional Layer.html 7.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2.html 7.6 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/08. Other Facets of C++ Classes.html 7.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.pt-BR.vtt 7.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. Feature Visualization.html 7.6 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. More Black-Box Optimization.html 7.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers.html 7.6 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction.html 7.6 kB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction to Compilation.html 7.5 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.en.vtt 7.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation.html 7.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. Feature Maps.html 7.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Create Your Elevator Pitch.html 7.5 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/08. General Advice.html 7.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/05. Play Tennis!.html 7.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.pt-BR.vtt 7.5 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/Project Description - Collaboration and Competition.html 7.5 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson TX2.html 7.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt 7.5 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. Coding Exercise.html 7.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.pt-BR.vtt 7.5 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/03. Beyond REINFORCE.html 7.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/04. Quiz Space Representations.html 7.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/17. Next Steps.html 7.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. Regularization.html 7.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Description - Improve Your LinkedIn Profile.html 7.4 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.pt-BR.vtt 7.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.en.vtt 7.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/08. Deep Q-Learning Improvements.html 7.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. Hill Climbing Pseudocode.html 7.4 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/01. Unity ML-Agents.html 7.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/12. Up Next.html 7.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation.html 7.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration.html 7.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects.html 7.4 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE (code walkthrough).html 7.4 kB
  • Part 01-Module 01-Lesson 12_What's Next/01. Congratulations!.html 7.4 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. Baselines and Critics.html 7.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method, Part 1.html 7.4 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/02. Lesson Preview.html 7.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.en.vtt 7.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement.html 7.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return.html 7.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration.html 7.3 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. DDPG Deep Deterministic Policy Gradient, Continuous Actions.html 7.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration.html 7.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items.html 7.3 kB
  • Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL for Robotics.html 7.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/01. Unity ML-Agents.html 7.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction.html 7.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter.html 7.3 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/09. What's Next.html 7.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/02. Introducing PyTorch.html 7.3 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. Problem Setup.html 7.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/06. Exercise Discretization.html 7.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.en.vtt 7.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. Beyond Hill Climbing.html 7.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/09. Exercise Tile Coding.html 7.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. C++ for Robotics.html 7.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa.html 7.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions.html 7.2 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Q-Learning.html 7.2 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2.html 7.2 kB
  • Part 02-Module 01-Lesson 04_Navigation/03. The Environment - Play.html 7.2 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. Summary.html 7.2 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/01. Unity ML-Agents.html 7.1 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. pong with PPO (code walkthrough).html 7.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. Hill Climbing.html 7.1 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/07. Test the Instance.html 7.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.zh-CN.vtt 7.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2.html 7.1 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.en.vtt 7.1 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.zh-CN.vtt 7.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/13. Coding Exercise.html 7.1 kB
  • Part 02-Module 01-Lesson 01_Study Plan/01. Study Plan.html 7.0 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. PPO summary.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3.html 7.0 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. A3C Asynchronous Advantage Actor-Critic, Off- vs On-policy.html 7.0 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Advanced TicTacToe using AlphaZero.html 7.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/08. Coding Exercise.html 7.0 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository.html 7.0 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications.html 7.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.en.vtt 7.0 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. MC Prediction - Part 1.html 7.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/15. MADDPG - Lab.html 7.0 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 6.9 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/04. Your Udacity Professional Profile.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/18. Exercise Static Keyword.html 6.9 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/07. Exercise If Statements.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/15. Exercise References.html 6.9 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 6.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 6.9 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 6.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes #1.html 6.9 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/06. Login to the Instance.html 6.9 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. GAE Generalized Advantage Estimation.html 6.9 kB
  • Part 02-Module 01-Lesson 04_Navigation/06. Benchmark Implementation.html 6.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/10. Quiz Action-Value Functions.html 6.9 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/01. Introducing Luis.html 6.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. Almgren and Chriss Model.html 6.8 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. A3C Asynchronous Advantage Actor-Critic, Parallel Training.html 6.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. The Efficient Frontier.html 6.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions.html 6.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/diagonal-line-2.png 6.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/10. Workspace.html 6.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/18. Workspace.html 6.8 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. DDPG Deep Deterministic Policy Gradient, Soft Updates.html 6.8 kB
  • Part 08-Module 01-Lesson 03_Practical C++/05. Input and Output.html 6.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. Trading Lists.html 6.7 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. A3C Asynchronous Advantage Actor-Critic, N-step.html 6.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction.html 6.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.en.vtt 6.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt 6.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 6.7 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions.html 6.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Forge on!.html 6.7 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. Policy-based, Value-Based, and Actor-Critic.html 6.7 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. Two Ways for Estimating Expected Returns.html 6.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/14. Workspace.html 6.7 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 6.7 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/03. Knowledge.html 6.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Meet the Careers Team.html 6.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 6.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/04. Apply Credits.html 6.6 kB
  • Part 03-Module 01-Lesson 01_Study Plan/01. Study Plan.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/07. Workspace Discretization.html 6.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/10. Workspace Tile Coding.html 6.6 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/12. DRL for Optimal Execution of Portfolio Transactions.html 6.6 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/10. 2D Vectors and For Loops.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.en.vtt 6.6 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. Connections to Supervised Learning.html 6.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. Loading Data Sets with Torchvision.html 6.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/07. Markov Games.html 6.6 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. A2C Advantage Actor-Critic.html 6.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks.html 6.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++.html 6.6 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Speed Challenge.html 6.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. Fashion-MNIST Exercise.html 6.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. Paper Description, Part 1.html 6.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Lesson Overview.html 6.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1.html 6.6 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Inference Validation.html 6.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited.html 6.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Defining Networks.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Training Networks.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Transfer Learning.html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. Bias and Variance.html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis.html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Code Walk-through.html 6.5 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/08. pong with REINFORCE (workspace).html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2C Code Walk-through.html 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. PyTorch Tensors.html 6.5 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt 6.5 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/14. pong with PPO (workspace).html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward.html 6.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Why Use an Elevator Pitch.html 6.5 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. Motivation.html 6.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.pt-BR.vtt 6.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/08. Overfitting and Underfitting.html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.pt-BR.vtt 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2.html 6.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3.html 6.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.ar.vtt 6.5 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Saving and Loading Trained Networks.html 6.5 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/03. Python Lists vs. C++ Vectors.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization.html 6.4 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/download.png 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Early Stopping.html 6.4 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Sebastian's Synchronization Story.html 6.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.zh-CN.vtt 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient.html 6.4 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/06. Student Resources.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate Decay.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization 2.html 6.4 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart.html 6.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.en.vtt 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima.html 6.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.en.vtt 6.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout.html 6.3 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/10. Workspace.html 6.3 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - walkthrough.html 6.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces.html 6.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation.html 6.3 kB
  • Part 01-Module 01-Lesson 12_What's Next/02. What can you do now.html 6.3 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/04. Student Hub.html 6.3 kB
  • Part 02-Module 01-Lesson 04_Navigation/09. Workspace.html 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions.html 6.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.zh-CN.vtt 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization.html 6.2 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.en.vtt 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding.html 6.2 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/09. Workspace.html 6.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding.html 6.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.zh-CN.vtt 6.2 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/08. TicTacToe using AlphaZero - Workspace.html 6.2 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/07. Workspace.html 6.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/05. Udacity Workspace.html 6.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.pt-BR.vtt 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/09. Demo Binary Floats.html 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/11. Demo Stack vs Heap.html 6.1 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary.html 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/05. Demo Machine Code.html 6.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/09. Double DQN.html 6.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/08. Demo Binary.html 6.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.zh-CN.vtt 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. Cooperation, Competition, Mixed Environments.html 6.1 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/03. Access Your Career Portal.html 6.1 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. Why Policy-Based Methods.html 6.1 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/07. Workspace.html 6.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.pt-BR.vtt 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. Introduction to Multi-Agent Systems.html 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. Applications of Multi-Agent Systems.html 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. Motivation for Multi-Agent Systems.html 6.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction.html 6.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. Benefits of Multi-Agent Systems.html 6.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/10. Prioritized Experience Replay.html 6.0 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/07. Coding Exercise.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. Paper Description, Part 2.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. Research Topics.html 6.0 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.en.vtt 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. Introducing Chhavi.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. Approaches to MARL.html 6.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/01. Introducing Mat.html 6.0 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. Markov Games.html 6.0 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. Policy-Based Methods.html 6.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.zh-CN.vtt 5.9 kB
  • Part 04-Module 01-Lesson 01_Study Plan/01. Study Plan.html 5.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. Summary.html 5.9 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/img/jupyter-logo.png 5.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.pt-BR.vtt 5.9 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/08. Workspace.html 5.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.en.vtt 5.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/diagonal-line-1.png 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. Advantages of RL for Trading.html 5.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. Policy Function Approximation.html 5.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation.html 5.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/11. Dueling DQN.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. Optimal Liquidation Problem - Part 4 - Expected Shortfall.html 5.9 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.zh-CN.vtt 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. Challenges of Supervised Learning.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/06. Optimal Liquidation Problem - Part 2 - Market Impact.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/05. Optimal Liquidation Problem - Part 1 - Introduction.html 5.9 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/07. Optimal Liquidation Problem - Part 3 - Price Model.html 5.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/index.html 5.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.zh-CN.vtt 5.9 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/02. Create an AWS Account.html 5.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt 5.9 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.en.vtt 5.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.zh-CN.vtt 5.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. High Frequency Trading.html 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example.html 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies.html 5.8 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/01. Introduction.html 5.8 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling.html 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality.html 5.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.en.vtt 5.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies.html 5.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.zh-CN.vtt 5.8 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.en.vtt 5.7 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. AlphaZero 2 Self-Play Training.html 5.7 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search.html 5.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary.html 5.7 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/01. Overview.html 5.7 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/12. Next Lesson.html 5.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt 5.6 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources.html 5.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction.html 5.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. Empathize with the Computer.html 5.6 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game.html 5.6 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. Outro.html 5.6 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.pt-BR.vtt 5.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.en.vtt 5.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.en.vtt 5.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/index.html 5.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/04. GitHub Repository.html 5.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/02. Reference Guide.html 5.5 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/05. AWS Credits.html 5.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.en.vtt 5.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.pt-BR.vtt 5.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.en.vtt 5.5 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/01. What It Takes.html 5.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt 5.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.pt-BR.vtt 5.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.4 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.zh-CN.vtt 5.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.pt-BR.vtt 5.4 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.en.vtt 5.4 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/01. FAQ.html 5.4 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/03. Mini Project.html 5.3 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/02. Reviews.html 5.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.ar.vtt 5.3 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome to the Deep Reinforcement Learning Nanodegree.html 5.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.pt-BR.vtt 5.3 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/01. Overview.html 5.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/index.html 5.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction.html 5.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL in the Real World.html 5.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.pt-BR.vtt 5.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. Introduction.html 5.2 kB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/index.html 5.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt 5.2 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. Summary.html 5.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.zh-CN.vtt 5.1 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/index.html 5.1 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.en.vtt 5.1 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/index.html 5.1 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.en.vtt 5.0 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/02. Support.html 5.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/index.html 4.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/index.html 4.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.zh-CN.vtt 4.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.en.vtt 4.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.zh-CN.vtt 4.9 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.en.vtt 4.9 kB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.en.vtt 4.9 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt 4.8 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.en.vtt 4.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/index.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/index.html 4.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.en.vtt 4.8 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/index.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.8 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt 4.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/index.html 4.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.7 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.en.vtt 4.7 kB
  • Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/index.html 4.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.pt-BR.vtt 4.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.7 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.en.vtt 4.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.en.vtt 4.7 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/index.html 4.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/index.html 4.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt 4.7 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.es-MX.vtt 4.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/index.html 4.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.en.vtt 4.6 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt 4.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.pt-BR.vtt 4.6 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.pt-BR.vtt 4.6 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.en.vtt 4.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.zh-CN.vtt 4.5 kB
  • Part 03-Module 01-Lesson 07_Continuous Control/index.html 4.5 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.en.vtt 4.4 kB
  • Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.4 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.pt-BR.vtt 4.4 kB
  • Part 02-Module 01-Lesson 04_Navigation/index.html 4.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/index.html 4.4 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/index.html 4.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/index.html 4.3 kB
  • Part 04-Module 01-Lesson 04_Collaboration and Competition/index.html 4.3 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.pt-BR.vtt 4.3 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/index.html 4.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/maze.png 4.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.pt-BR.vtt 4.3 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/index.html 4.3 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.en.vtt 4.3 kB
  • Part 08-Module 01-Lesson 02_C++ Vectors/index.html 4.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/index.html 4.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.en.vtt 4.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt 4.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.zh-CN.vtt 4.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.2 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.2 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.pt-BR.vtt 4.1 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/index.html 4.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.zh-CN.vtt 4.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt 4.1 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/index.html 4.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/09. 10 Double DQN V2-PGCEMLujiGI.en.vtt 4.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt 4.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.en.vtt 4.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.zh-CN.vtt 4.0 kB
  • Part 08-Module 01-Lesson 03_Practical C++/index.html 4.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ar.vtt 4.0 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/index.html 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.zh-CN.vtt 4.0 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.en.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.pt-BR.vtt 4.0 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.zh-CN.vtt 3.9 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.en.vtt 3.9 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.zh-CN.vtt 3.9 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.zh-CN.vtt 3.9 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.pt-BR.vtt 3.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt 3.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt 3.9 kB
  • Part 07-Module 01-Lesson 01_Cloud Computing/index.html 3.9 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.en.vtt 3.9 kB
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.zh-CN.vtt 3.9 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.en.vtt 3.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.en.vtt 3.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.en.vtt 3.9 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.pt-BR.vtt 3.8 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/index.html 3.8 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/index.html 3.8 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.pt-BR.vtt 3.8 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt 3.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.zh-CN.vtt 3.7 kB
  • Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.en.vtt 3.7 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.pt-BR.vtt 3.7 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.zh-CN.vtt 3.6 kB
  • Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/index.html 3.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt 3.6 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/index.html 3.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.en.vtt 3.6 kB
  • Part 07-Module 01-Lesson 02_Udacity Workspaces/index.html 3.6 kB
  • Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/index.html 3.6 kB
  • Part 01-Module 01-Lesson 04_Learning Plan/img/unknown.png 3.6 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.en.vtt 3.6 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.en.vtt 3.6 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt 3.6 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt 3.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt 3.5 kB
  • Part 01-Module 01-Lesson 12_What's Next/index.html 3.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.pt-BR.vtt 3.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.zh-CN.vtt 3.5 kB
  • Part 02-Module 01-Lesson 01_Study Plan/index.html 3.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.pt-BR.vtt 3.5 kB
  • Part 01-Module 01-Lesson 03_Get Help with Your Account/index.html 3.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt 3.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.en.vtt 3.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt 3.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.en.vtt 3.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.5 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.en.vtt 3.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.zh-CN.vtt 3.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.pt-BR.vtt 3.5 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.zh-CN.vtt 3.4 kB
  • Part 03-Module 01-Lesson 01_Study Plan/index.html 3.4 kB
  • Part 04-Module 01-Lesson 01_Study Plan/index.html 3.4 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.zh-CN.vtt 3.4 kB
  • Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.en.vtt 3.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.zh-CN.vtt 3.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.pt-BR.vtt 3.4 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.en.vtt 3.3 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt 3.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.zh-CN.vtt 3.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 1-HYV0SP9wm7g.en.vtt 3.3 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.en.vtt 3.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.en.vtt 3.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.es-MX.vtt 3.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.pt-BR.vtt 3.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.pt-BR.vtt 3.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.en.vtt 3.2 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction-GCGqT2knFJ0.en.vtt 3.2 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.en.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.zh-CN.vtt 3.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.en.vtt 3.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.pt-BR.vtt 3.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.1 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt 3.1 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.zh-CN.vtt 3.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.zh-CN.vtt 3.1 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt 3.0 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.en.vtt 3.0 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.en.vtt 3.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.en.vtt 3.0 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.zh-CN.vtt 3.0 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.en.vtt 3.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt 3.0 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt 3.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt 2.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.9 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.pt-BR.vtt 2.9 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.zh-CN.vtt 2.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.en.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.zh-CN.vtt 2.8 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.8 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods-ZwIg6LDMyuo.en.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.pt-BR.vtt 2.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.en.vtt 2.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.en.vtt 2.7 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. M3 L2 C02 V1-v8tGjlc2aG4.en.vtt 2.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.6 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.en.vtt 2.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.6 kB
  • Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.en.vtt 2.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.en.vtt 2.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.en.vtt 2.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.zh-CN.vtt 2.6 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt 2.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.zh-CN.vtt 2.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.pt-BR.vtt 2.5 kB
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.zh-CN.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.en.vtt 2.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.en.vtt 2.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.5 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. M3 L2 C07 V3-2poDljPvY58.en.vtt 2.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt 2.5 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.pt-BR.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.pt-BR.vtt 2.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.en.vtt 2.4 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.pt-BR.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.4 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.4 kB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.en.vtt 2.4 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 2-U_CV-UC9G2c.en.vtt 2.3 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ar.vtt 2.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ar.vtt 2.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.3 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.zh-CN.vtt 2.3 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.2 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.en.vtt 2.2 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt 2.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.2 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.pt-BR.vtt 2.2 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt 2.2 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.2 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/img/sigmoid-derivative.gif 2.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.en.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.en.vtt 2.1 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.en.vtt 2.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt 2.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt 2.1 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.en.vtt 2.1 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.zh-CN.vtt 2.1 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.en.vtt 2.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.en.vtt 2.1 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.en.vtt 2.1 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.en.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.zh-CN.vtt 2.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 2.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 2.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt 2.0 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt 2.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt 2.0 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt 2.0 kB
  • Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 2.0 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 2.0 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt 1.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.en.vtt 1.9 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.pt-BR.vtt 1.9 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt 1.9 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.en.vtt 1.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.en.vtt 1.9 kB
  • Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.zh-CN.vtt 1.9 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.en.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.pt-BR.vtt 1.8 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.en.vtt 1.8 kB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. M3 L2 C05 V1-0XzzqIXyax0.en.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.en.vtt 1.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt 1.8 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/11. 10 Dueling DQN V2-zZeHbPs39Ls.en.vtt 1.8 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt 1.8 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt 1.8 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 03 Transitioning-BvDvxw8e0CY.en.vtt 1.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.en.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.en.vtt 1.7 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.zh-CN.vtt 1.7 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.7 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.en.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.en.vtt 1.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.en.vtt 1.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.en.vtt 1.6 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment-tfZw1moB25Y.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.6 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.en.vtt 1.6 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt 1.6 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.6 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.pt-BR.vtt 1.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt 1.5 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.en.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.5 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt 1.5 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt 1.5 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt 1.4 kB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.zh-CN.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.pt-BR.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. L601 Intro RENDER V2-3H5x0lstvmo.en.vtt 1.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.4 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.en.vtt 1.4 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt 1.3 kB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.zh-CN.vtt 1.3 kB
  • Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction-sokSgNtGj9Y.en.vtt 1.3 kB
  • Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.en.vtt 1.3 kB
  • Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.3 kB
  • Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.3 kB
  • Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.en.vtt 1.3 kB
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.en.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.3 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.en.vtt 1.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.3 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.en.vtt 1.3 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.en.vtt 1.3 kB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.2 kB
  • Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.zh-CN.vtt 1.2 kB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.en.vtt 1.2 kB
  • Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.zh-CN.vtt 1.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.pt-BR.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.1 kB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.en.vtt 1.1 kB
  • Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.0 kB
  • Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.en.vtt 1.0 kB
  • Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 Bytes
  • Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.en.vtt 914 Bytes
  • Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.zh-CN.vtt 883 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 Bytes
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.pt-BR.vtt 866 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 Bytes
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.en.vtt 830 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.en.vtt 824 Bytes
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.en.vtt 823 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 Bytes
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt 770 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 Bytes
  • Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt 726 Bytes
  • Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.zh-CN.vtt 718 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt 705 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 Bytes
  • Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 Bytes
  • Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.en.vtt 500 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt 476 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.en.vtt 466 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
  • Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！