reinforcement learning -移花宫 -武林禁地，闲人禁止入内

[ FreeCourseWeb.com ] Udemy - Curiosity Driven Deep Reinforcement Learning

~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/4. Experimental Setup and Coding Our ICM Module.mp4 244.0 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/12. Coding Our Main Loop and Evaluating Our Agent.mp4 239.4 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/11. How to Modify the Open AI Gym Atari Environments.mp4 171.3 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/7. Learning with Generalized Advantage Estimation.mp4 120.4 MB
~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/5. ICM Paper Experiments, Related Work, and Discussion.mp4 116.4 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/10. A3C Paper Experiments and Discussion.mp4 106.3 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/6. Coding our Actor Critic Network.mp4 101.4 MB
~Get Your Files Here !/2. Fundamental Concepts/1. A Brief Review of Deep Reinforcement Learning and Actor Critic Methods.mp4 90.5 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/5. A3C Paper The Asynchronous Reinforcement Learning Framework.mp4 90.3 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/3. Crash Course in Parallel Processing in Python.mp4 88.4 MB
~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/6. Setting Up the Mini World and Training Our ICM Agent.mp4 86.1 MB
~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/3. ICM Paper Curiosity Driven Exploration.mp4 83.0 MB
~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/2. ICM Paper Abstract and Introduction.mp4 78.3 MB
~Get Your Files Here !/2. Fundamental Concepts/2. Code Review of Basic Actor Critic Agent.mp4 75.2 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/1. How to Read and Implement Research Papers.mp4 64.3 MB
~Get Your Files Here !/1. Introduction/1. What You Will Learn in this Course.mp4 54.1 MB
~Get Your Files Here !/2. Fundamental Concepts/3. A Crash Course in Asynchronous Advantage Actor Critic Methods.mp4 49.0 MB
~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/2. A3C Paper Abstract and Introduction.mp4 41.4 MB
~Get Your Files Here !/1. Introduction/2. How to Succeed in this Course.mp4 35.1 MB
~Get Your Files Here !/1. Introduction/3. Required Background, Software, and Hardware.mp4 27.5 MB

[磁力链接] 添加时间:2023-12-23 大小:2.0 GB 最近下载:2025-10-05 热度:1863

[ DevCourseWeb.com ] Udemy - Machine Learning - Beginner Reinforcement Learning in Python.zip

[ DevCourseWeb.com ] Udemy - Machine Learning - Beginner Reinforcement Learning in Python.zip 726.6 MB

[磁力链接] 添加时间:2021-03-07 大小:726.6 MB 最近下载:2025-10-05 热度:1870

Udemy - Advanced AI Deep Reinforcement Learning in Python (11.2024)

6 - Deep Q-Learning/7 -Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6 - Deep Q-Learning/8 -Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.2 MB
7 - A3C/5 -A3C - Code pt 4.mp4 193.3 MB
2 - The Basics of Reinforcement Learning/2 -Elements of a Reinforcement Learning Problem.mp4 110.4 MB
7 - A3C/4 -A3C - Code pt 3.mp4 88.6 MB
8 - Theano and Tensorflow Basics Review/4 -(Review) Tensorflow Neural Network in Code.mp4 82.2 MB
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
8 - Theano and Tensorflow Basics Review/1 -(Review) Theano Basics.mp4 81.9 MB
1 - Introduction and Logistics/2 -Where to get the Code.mp4 76.8 MB
7 - A3C/1 -A3C - Theory and Outline.mp4 75.2 MB
8 - Theano and Tensorflow Basics Review/2 -(Review) Theano Neural Network in Code.mp4 71.0 MB
2 - The Basics of Reinforcement Learning/11 -Q-Learning.mp4 70.3 MB
8 - Theano and Tensorflow Basics Review/3 -(Review) Tensorflow Basics.mp4 66.5 MB
7 - A3C/3 -A3C - Code pt 2.mp4 60.4 MB
2 - The Basics of Reinforcement Learning/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 58.2 MB
2 - The Basics of Reinforcement Learning/4 -Markov Decision Processes (MDPs).mp4 53.3 MB
1 - Introduction and Logistics/1 -Introduction and Outline.mp4 52.9 MB
7 - A3C/2 -A3C - Code pt 1 (Warmup).mp4 52.5 MB
2 - The Basics of Reinforcement Learning/6 -Value Functions and the Bellman Equation.mp4 50.5 MB

[磁力链接] 添加时间:2025-07-24 大小:3.1 GB 最近下载:2025-10-05 热度:134

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4 54.4 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 13.3 MB
5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.7 MB
5. Dynamic Programming/2. Gridworld in Code.mp4 12.0 MB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 11.1 MB
2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB

[磁力链接] 添加时间:2021-03-16 大小:1.3 GB 最近下载:2025-10-05 热度:3151

[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)

11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB

[磁力链接] 添加时间:2024-01-22 大小:7.9 GB 最近下载:2025-10-04 热度:1259

[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python

11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB

[磁力链接] 添加时间:2021-03-21 大小:2.0 GB 最近下载:2025-10-04 热度:1867

artificial-intelligence-reinforcement-learning-in-python

02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
04 Markov Decision Proccesses/031 MDP Summary.mp4 2.5 MB
07 Temporal Difference Learning/051 Temporal Difference Intro.mp4 2.9 MB
02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp4 3.0 MB
05 Dynamic Programming/036 Policy Iteration.mp4 3.3 MB
04 Markov Decision Proccesses/025 Gridworld.mp4 3.5 MB
07 Temporal Difference Learning/058 TD Summary.mp4 4.1 MB
09 Appendix/069 Where to get discount coupons and FREE deep learning material.mp4 4.2 MB
03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
05 Dynamic Programming/035 Policy Improvement.mp4 4.8 MB
06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4 4.8 MB
08 Approximation Methods/065 Semi-Gradient SARSA.mp4 4.9 MB
05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 5.1 MB
07 Temporal Difference Learning/056 Q Learning.mp4 5.1 MB
05 Dynamic Programming/040 Value Iteration in Code.mp4 5.1 MB
06 Monte Carlo/042 Monte Carlo Intro.mp4 5.2 MB
03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB

[磁力链接] 添加时间:2017-06-03 大小:580.1 MB 最近下载:2025-10-04 热度:487

[DesireCourse.Net] Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

[磁力链接] 添加时间:2021-03-08 大小:3.5 GB 最近下载:2025-10-03 热度:1815

Udemy - Reinforcement Learning Optimize Equations like a Pro 2024-5

2. Course Content/1. 1 Solve x^2-25=0.mp4 414.7 MB
2. Course Content/8. 8 Solve x + y^3 + z^2 - 78=0.mp4 282.1 MB
2. Course Content/4. 4 Solve x^2+ y^2 - 50=0.mp4 265.4 MB
2. Course Content/10. 10 Evaluate the Expression and find the values.mp4 194.3 MB
2. Course Content/3. 3 Solve Faster -x^2-40=0.mp4 180.5 MB
2. Course Content/11. 11 Evaluate the Expression and find the values with Streamlit.mp4 174.7 MB
2. Course Content/6. 6 Solve 5x^4+ 3y^5 - 627=0.mp4 153.7 MB
2. Course Content/7. 7 Solve x^2 + y^2 + z^2 - 20=0.mp4 153.7 MB
2. Course Content/5. 5 Solve x^2+ y^2 - 40=0.mp4 147.3 MB
2. Course Content/9. 9 Math Expression Evaluator with Streamlit.mp4 133.2 MB
2. Course Content/2. 2 Solve x^2-40=0.mp4 113.5 MB
1. Introduction/1. Introduction.mp4 29.9 MB
2. Course Content/11.1 11.py 5.1 kB
2. Course Content/10.1 10.py 3.6 kB
2. Course Content/8.1 8.py 3.1 kB
2. Course Content/7.1 7.py 3.0 kB
2. Course Content/6.1 6.py 2.6 kB
2. Course Content/5.1 5.py 2.5 kB
2. Course Content/4.1 4.py 2.4 kB
2. Course Content/3.1 3.py 1.9 kB

[磁力链接] 添加时间:2024-09-17 大小:2.2 GB 最近下载:2025-10-03 热度:442

GetFreeCourses.Co-Udemy-Practical Reinforcement Learning using Python - 8 AI Agents

5. Mario Reinforcement Learning Agent/11. Creating a Better Learning Environment for Agent.mp4 165.6 MB
4. Flappy Bird Reinforcement Learning Agent/8. Learn Function.mp4 150.1 MB
3. Autonomous Taxi Agent/7. Visualizing our Agent & Testing in other Environments.mp4 103.2 MB
5. Mario Reinforcement Learning Agent/10. Learn Function.mp4 93.4 MB
7. Car Reinforcement Learning Agents/6. Agent 2) Training our Agent.mp4 85.0 MB
4. Flappy Bird Reinforcement Learning Agent/7. Train Function.mp4 82.0 MB
5. Mario Reinforcement Learning Agent/9. Preprocess State for Neural Network Function.mp4 79.1 MB
6. Stocks Reinforcement Learning Agents/7. Creating Model & Learning from Environment.mp4 74.4 MB
4. Flappy Bird Reinforcement Learning Agent/5. Building Neural Network.mp4 73.8 MB
3. Autonomous Taxi Agent/5. Training Q-Learning Agent.mp4 71.7 MB
5. Mario Reinforcement Learning Agent/13. Visualizing our Agent.mp4 70.4 MB
1. Introduction/1. Introduction.mp4 69.8 MB
4. Flappy Bird Reinforcement Learning Agent/10. Visualize Trained Agent.mp4 64.3 MB
6. Stocks Reinforcement Learning Agents/10. PART 2 Creating Environment with Technical Indicators.mp4 55.8 MB
2. SpaceInvaders Agent/4. Building Reinforcement Learning Agent.mp4 55.3 MB
6. Stocks Reinforcement Learning Agents/9. PART 2 Implementing 89 different Technical Indicators in Data.mp4 54.5 MB
5. Mario Reinforcement Learning Agent/12. Save & Load Agent.mp4 54.3 MB
6. Stocks Reinforcement Learning Agents/1. Setting up Project & Installing Python Packages.mp4 54.1 MB
6. Stocks Reinforcement Learning Agents/5. Creating our Environment.mp4 53.3 MB
2. SpaceInvaders Agent/3. Building Neural Network.mp4 53.2 MB

[磁力链接] 添加时间:2021-05-20 大小:2.6 GB 最近下载:2025-10-03 热度:1187

advanced-ai-deep-reinforcement-learning-in-python

[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 88.0 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 82.2 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 81.9 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 71.0 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 66.5 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB

[磁力链接] 添加时间:2024-05-20 大小:3.4 GB 最近下载:2025-10-03 热度:652

[DesireCourse.Com] Udemy - Artificial Intelligence Reinforcement Learning in Python

[DesireCourse.Com] Udemy - Artificial Intelligence Reinforcement Learning in Python.zip 434.0 MB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2021-04-28 大小:434.0 MB 最近下载:2025-10-03 热度:1440

[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-03-29 大小:4.4 GB 最近下载:2025-10-03 热度:1957

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB

[磁力链接] 添加时间:2021-03-06 大小:1.6 GB 最近下载:2025-10-02 热度:2755

[ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip

[ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip 2.6 GB

[磁力链接] 添加时间:2021-05-26 大小:2.6 GB 最近下载:2025-10-02 热度:2317

[Tutorialsplanet.NET] Udemy - GAdvanced AI Deep Reinforcement Learning in Python

6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.4 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 46.7 MB

[磁力链接] 添加时间:2021-03-21 大小:3.1 GB 最近下载:2025-10-01 热度:183

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 72.5 MB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 66.7 MB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 66.4 MB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 65.6 MB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 57.0 MB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 52.4 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 52.3 MB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 52.2 MB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 44.6 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 43.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 40.6 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 40.0 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 38.4 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 38.2 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 38.1 MB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 36.8 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 35.3 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 34.0 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.9 MB

[磁力链接] 添加时间:2024-01-06 大小:1.7 GB 最近下载:2025-09-30 热度:959

[FreeCourseSite.com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
1. Welcome/5. Warmup.mp4 65.6 MB
8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2022-01-20 大小:4.4 GB 最近下载:2025-09-29 热度:1761

[FreeCoursesOnline.Me] Coursera - Practical Reinforcement Learning

001.Welcome/001. Why should you care.mp4 34.0 MB
001.Welcome/001. Why should you care.srt 15.8 kB
001.Welcome/002. Reinforcement learning vs all.mp4 11.3 MB
001.Welcome/002. Reinforcement learning vs all.srt 5.0 kB
002.Reinforcement Learning/003. Multi-armed bandit.mp4 18.7 MB
002.Reinforcement Learning/003. Multi-armed bandit.srt 7.4 kB
002.Reinforcement Learning/004. Decision process & applications.mp4 24.1 MB
002.Reinforcement Learning/004. Decision process & applications.srt 9.9 kB
003.Black box optimization/005. Markov Decision Process.mp4 18.9 MB
003.Black box optimization/005. Markov Decision Process.srt 8.5 kB
003.Black box optimization/006. Crossentropy method.mp4 37.8 MB
003.Black box optimization/006. Crossentropy method.srt 15.9 kB
003.Black box optimization/007. Approximate crossentropy method.mp4 20.2 MB
003.Black box optimization/007. Approximate crossentropy method.srt 8.4 kB
003.Black box optimization/008. More on approximate crossentropy method.mp4 24.0 MB
003.Black box optimization/008. More on approximate crossentropy method.srt 10.7 kB
004.All the cool stuff that isn't in the base track/009. Evolution strategies core idea.mp4 21.9 MB
004.All the cool stuff that isn't in the base track/009. Evolution strategies core idea.srt 7.5 kB
004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.mp4 18.6 MB
004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.srt 8.8 kB

[磁力链接] 添加时间:2018-09-25 大小:1.5 GB 最近下载:2025-09-27 热度:4899

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

01 Introduction and Outline/001 Introduction and outline.mp4 10.6 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.9 MB
02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.8 MB
02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4 8.4 MB
02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4 5.4 MB
02 Return of the Multi-Armed Bandit/010 UCB1.mp4 8.6 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 16.0 MB
02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4 7.8 MB
03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4 6.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4 13.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 27.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4 10.3 MB

[磁力链接] 添加时间:2018-02-24 大小:621.3 MB 最近下载:2025-09-21 热度:2159