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

  • 10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
  • 11/3. 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:2021-04-10 大小:3.4 GB 最近下载:2024-05-26 热度:61

Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python (10.2022)

  • 06 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4 183.7 MB
  • 04 - DDPG (Deep Deterministic Policy Gradient)/005 DDPG Code (part 1).mp4 130.3 MB
  • 03 - A2C (Advantage Actor-Critic)/010 A2C.mp4 122.6 MB
  • 06 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.3 MB
  • 04 - DDPG (Deep Deterministic Policy Gradient)/004 MuJoCo.mp4 98.0 MB
  • 05 - ES (Evolution Strategies)/007 ES for Flappy Bird in Code.mp4 95.8 MB
  • 08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.2 MB
  • 03 - A2C (Advantage Actor-Critic)/008 Environment Wrappers.mp4 84.5 MB
  • 08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
  • 07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 67.5 MB
  • 03 - A2C (Advantage Actor-Critic)/001 A2C Section Introduction.mp4 59.6 MB
  • 07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
  • 01 - Welcome/002 Outline.mp4 53.7 MB
  • 08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 53.3 MB
  • 03 - A2C (Advantage Actor-Critic)/002 A2C Theory (part 1).mp4 51.6 MB
  • 03 - A2C (Advantage Actor-Critic)/007 Multiple Processes.mp4 46.8 MB
  • 05 - ES (Evolution Strategies)/002 ES Theory.mp4 45.9 MB
  • 04 - DDPG (Deep Deterministic Policy Gradient)/006 DDPG Code (part 2).mp4 40.9 MB
  • 09 - Appendix FAQ Finale/002 BONUS Lecture.mp4 39.6 MB
  • 02 - Review of Fundamental Reinforcement Learning Concepts/003 Markov Decision Processes (MDPs).mp4 38.0 MB
[磁力链接] 添加时间:2025-07-08 大小:2.1 GB 最近下载:2025-09-30 热度:60

[FreeCourseLab.com] 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:2022-03-04 大小:1.6 GB 最近下载:2025-02-23 热度:55

[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


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