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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:2021-03-15 大小:3.1 GB 最近下载:2025-10-03 热度:11400

Udacity - Deep Reinforcement Learning Nanodegree nd893 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:2021-03-14 大小:2.5 GB 最近下载:2025-09-30 热度:6558

[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

GetFreeCourses.Me-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
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 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
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 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:2021-03-09 大小:3.5 GB 最近下载:2025-10-03 热度:2406

[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:1813

[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:2021-03-07 大小:2.5 GB 最近下载:2025-09-13 热度:2794

[FreeCoursesOnline.Me] 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:2021-03-07 大小:2.5 GB 最近下载:2025-08-11 热度:1613

[ 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:2025-09-29 热度:1869

[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

[UdemyCourseDownloader] Advanced AI Deep Reinforcement Learning in Python

  • 07 Appendix/044 Environment Setup.mp4 46.0 MB
  • udemycoursedownloader.com.url 132 Bytes
  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
[磁力链接] 添加时间:2018-11-27 大小:547.6 MB 最近下载:2025-05-16 热度:687

[CourseClub.NET] 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:2018-10-14 大小:1.5 GB 最近下载:2025-10-02 热度:2300

[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

Pluralsight Understanding Algorithms for Reinforcement Learning

  • 04.Using Reinforcement Learning Platforms/0406.Demo Q-learning to Balance a Pole on a Cart Simulation.mp4 15.5 MB
  • 01.Course Overview/0101.Course Overview.srt 2.9 kB
  • 02.Understanding the Reinforcement Learning Problem/0201.Module Overview .mp4 3.0 MB
  • 02.Understanding the Reinforcement Learning Problem/0201.Module Overview .srt 2.6 kB
  • 02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.mp4 3.6 MB
  • 02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.srt 3.9 kB
  • 02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.mp4 7.5 MB
  • 02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.srt 7.8 kB
  • 02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.mp4 11.4 MB
  • 02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.srt 9.7 kB
  • 02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4 5.7 MB
  • 02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.srt 3.7 kB
  • 02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.mp4 9.8 MB
  • 02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.srt 9.6 kB
  • 02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.mp4 4.1 MB
  • 02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.srt 4.9 kB
  • 02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.mp4 11.0 MB
  • 02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.srt 11.0 kB
  • 02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.mp4 6.2 MB
  • 02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.srt 6.3 kB
[磁力链接] 添加时间:2018-09-20 大小:242.9 MB 最近下载:2025-10-03 热度:3508

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

  • [DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python.zip 404.0 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-09-14 大小:404.0 MB 最近下载:2025-07-31 热度:3787

Packt Hands-on Reinforcement Learning with TensorFlow

  • 05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
  • 01.Understanding the Reinforcement Learning Framework/0102.Introduction to Reinforcement Learning.mp4 15.1 MB
  • 01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
  • 01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
  • 02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
  • 02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
  • 02.Training a Smartcab Using Q-Learning/0203.Introducing Reinforcement Q-Learning.mp4 14.0 MB
  • 02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
  • 02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
  • 03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
  • 03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
  • 03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
  • 03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
  • 03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
  • 04.Deep Reinforcement Learning with TensorFlow/0401.Introducing Deep Q-Networks.mp4 14.5 MB
  • 04.Deep Reinforcement Learning with TensorFlow/0402.The DQN Training Algorithm.mp4 11.4 MB
  • 04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
  • 04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
  • 04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
  • 05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
[磁力链接] 添加时间:2018-09-08 大小:852.7 MB 最近下载:2025-10-02 热度:2573

[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

[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

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

  • [HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip 435.3 MB
[磁力链接] 添加时间:2018-02-05 大小:435.3 MB 最近下载:2025-05-21 热度:21

[FreeTutorials.Us] 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:2017-08-20 大小:621.3 MB 最近下载:2025-09-02 热度:1093

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

  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 9.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
[磁力链接] 添加时间:2017-08-18 大小:547.6 MB 最近下载:2025-09-15 热度:978


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