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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:2025-09-25 热度:649

Lecture 10 - Reinforcement Learning

  • Lecture 10 Segment 4 Model-Free Learning Sample Based - Temporal Difference Learning.mp4 22.8 MB
  • Lecture 10 Segment 5 Active Reinforcement Learning - Q-Learning.mp4 18.5 MB
  • Lecture 10 Segment 3 Passive Reinforcement Learning.mp4 17.3 MB
  • Lecture 10 Segment 1 Reinforcement Learning.mp4 17.3 MB
  • Lecture 10 Segment 2 Model-Based Learning.mp4 12.7 MB
[磁力链接] 添加时间:2017-02-20 大小:88.5 MB 最近下载:2025-03-08 热度:550

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:2025-09-28 热度:486

Deep Reinforcement Learning 2.0

  • Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 185.2 MB
  • Deep Reinforcement Learning 2.0/4. The Final Demo!/1. Demo - Training.mp4 184.1 MB
  • Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 173.1 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 15.mp4 170.3 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 18.mp4 154.1 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 2.mp4 148.0 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 1.mp4 146.0 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 4.mp4 144.5 MB
  • Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 143.8 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 19.mp4 138.0 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 3.mp4 134.1 MB
  • Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 130.8 MB
  • Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/1. Welcome.mp4 129.8 MB
  • Deep Reinforcement Learning 2.0/4. The Final Demo!/2. Demo - Inference.mp4 125.3 MB
  • Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/4. Experience Replay.mp4 120.7 MB
  • Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn.mp4 117.6 MB
  • Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 115.3 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 16.mp4 111.3 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 5.mp4 109.8 MB
  • Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 6.mp4 105.3 MB
[磁力链接] 添加时间:2022-01-14 大小:5.1 GB 最近下载:2025-08-20 热度:481

[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:2022-01-31 大小:4.4 GB 最近下载:2025-08-17 热度:448

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:2025-09-28 热度:439

[ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip

  • [ DevCourseWeb.com ] Udemy - Reinforcement Learning with Python Explained for Beginners.zip 3.5 GB
[磁力链接] 添加时间:2021-03-29 大小:3.5 GB 最近下载:2025-10-01 热度:421

[ FreeCourseWeb.com ] Udemy - Reinforcement Learning #1- Fundamentals.zip

  • [ FreeCourseWeb.com ] Udemy - Reinforcement Learning #1- Fundamentals.zip 264.0 MB
[磁力链接] 添加时间:2022-04-07 大小:264.0 MB 最近下载:2025-09-20 热度:358

Lecture 11 - Reinforcement Learning II

  • Lecture 11 Segment 3 Approximate Q-Learning.mp4 30.1 MB
  • Lecture 11 Segment 1 Reinforcement Learning Recap.mp4 19.7 MB
  • Lecture 11 Segment 2 Exploration vs. Exploitation and Regret.mp4 19.3 MB
  • Lecture 11 Segment 4 Policy Search.mp4 6.3 MB
  • Lecture 11 Segment 5 Conclusion.mp4 955.5 kB
[磁力链接] 添加时间:2017-02-27 大小:76.4 MB 最近下载:2025-02-21 热度:342

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

  • 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
  • 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
  • 1. Welcome/5. Warmup.mp4 65.7 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/9. 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
  • 9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
  • 2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
  • 5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
  • 2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
  • 9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
[磁力链接] 添加时间:2021-03-24 大小:3.3 GB 最近下载:2025-08-09 热度:316

[FreeAllCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 09 Appendix FAQ/062 Windows-Focused Environment Setup E8.mp4 195.2 MB
  • 07 A3C/054 A3C - Code pt 4.mp4 193.3 MB
  • 08 Theano and Tensorflow Basics Review/060 (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 08 Theano and Tensorflow Basics Review/057 (Review) Theano Basics.mp4 97.9 MB
  • 08 Theano and Tensorflow Basics Review/058 (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 07 A3C/053 A3C - Code pt 3.mp4 88.6 MB
  • 08 Theano and Tensorflow Basics Review/059 (Review) Tensorflow Basics.mp4 85.4 MB
  • 09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 07 A3C/050 A3C - Theory and Outline.mp4 75.2 MB
  • 07 A3C/052 A3C - Code pt 2.mp4 60.4 MB
  • 07 A3C/051 A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 09 Appendix FAQ/073 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 09 Appendix FAQ/072 What order should I take your courses in (part 2).mp4 39.4 MB
  • 09 Appendix FAQ/071 What order should I take your courses in (part 1).mp4 30.7 MB
  • 06 Deep Q-Learning/045 Pseudocode and Replay Memory.mp4 29.2 MB
  • 09 Appendix FAQ/064 How to Code by Yourself (part 1).mp4 25.7 MB
[磁力链接] 添加时间:2021-04-18 大小:2.5 GB 最近下载:2025-06-11 热度:307

[FreeTutorials.Us] deep-reinforcement-learning-in-python

  • 07 Appendix/044 Environment Setup.mp4 46.0 MB
  • 07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
  • 05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
  • 05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
  • 05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
  • 05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
  • 06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
  • 07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 04 TD Lambda/026 TD Lambda.mp4 12.3 MB
[磁力链接] 添加时间:2021-03-11 大小:547.6 MB 最近下载:2024-09-15 热度:289

Cutting-Edge AI Deep Reinforcement Learning in Python

  • Cutting-Edge AI Deep Reinforcement Learning in Python.zip 3.4 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
  • TutsGalaxy.com.txt 53 Bytes
[磁力链接] 添加时间:2021-04-02 大小:3.4 GB 最近下载:2025-08-14 热度:222

Udemy - Artificial Intelligence Reinforcement Learning in Python (12.2024)

  • 11 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.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 63.7 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:2025-07-05 大小:4.5 GB 最近下载:2025-10-02 热度:205

[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

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:2025-10-01 热度:129

[CourseClub.NET] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0

  • 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
[磁力链接] 添加时间:2021-03-28 大小:2.5 GB 最近下载:2025-08-19 热度:126

deep-reinforcement-learning-in-python

  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
  • 04 TD Lambda/028 TD Lambda Summary.mp4 3.8 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 07 Appendix/045 Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 04 TD Lambda/024 N-Step Methods.mp4 5.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.3 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
  • 06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 6.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 6.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 05 Policy Gradients/032 Continuous Action Spaces.mp4 6.9 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 06 Deep Q-Learning/043 Partially Observable MDPs.mp4 8.0 MB
[磁力链接] 添加时间:2017-05-30 大小:506.4 MB 最近下载:2025-09-09 热度:115

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

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.srt 246.0 MB
  • 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.srt 245.1 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.srt 195.4 MB
  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.srt 193.3 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 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.srt 97.9 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.srt 91.2 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.srt 88.6 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.srt 85.4 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix FAQ/8. 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
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
[磁力链接] 添加时间:2021-04-20 大小:3.8 GB 最近下载:2024-03-18 热度:71

[HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip

  • [HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip 434.0 MB
[磁力链接] 添加时间:2018-02-19 大小:434.0 MB 最近下载:2025-02-17 热度:66


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