Pluralsight Understanding Algorithms for Reinforcement Learning

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  3. Creat Time:2024-07-20
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  5. Last Active:2024-12-02
  6. File Tags:Pluralsight  Understanding  Algorithms  for  Reinforcement  Learning  
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File List:

    Pluralsight Understanding Algorithms for Reinforcement Learning

  1. 04.Using Reinforcement Learning Platforms/0406.Demo Q-learning to Balance a Pole on a Cart Simulation.mp4 15.13 MB
  2. 03.Implementing Reinforcement Learning Algorithms/0306.Intuition Behind Q-learning.mp4 14.80 MB
  3. 04.Using Reinforcement Learning Platforms/0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.mp4 14.75 MB
  4. 03.Implementing Reinforcement Learning Algorithms/0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.mp4 13.64 MB
  5. 04.Using Reinforcement Learning Platforms/0405.Demo Q-learning to Balance a Pole on a Cart.mp4 12.69 MB
  6. 03.Implementing Reinforcement Learning Algorithms/0310.Demo Q-learning for Shortest Path Implementation.mp4 12.65 MB
  7. 04.Using Reinforcement Learning Platforms/0402.Exploring Reinforcement Learning Platforms.mp4 12.18 MB
  8. 03.Implementing Reinforcement Learning Algorithms/0308.Exploring State Space.mp4 12.05 MB
  9. 03.Implementing Reinforcement Learning Algorithms/0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.mp4 11.81 MB
  10. 02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.mp4 11.16 MB
  11. 02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.mp4 10.75 MB
  12. 02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.mp4 9.57 MB
  13. 03.Implementing Reinforcement Learning Algorithms/0309.Demo Q-learning for Shortest Path Initialization.mp4 9.44 MB
  14. 03.Implementing Reinforcement Learning Algorithms/0307.Q-learning Using the Temporal Difference Method and SARSA.mp4 8.11 MB
  15. 04.Using Reinforcement Learning Platforms/0403.Exploring Environments in the Open AI Gym.mp4 7.35 MB
  16. 02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.mp4 7.33 MB
  17. 03.Implementing Reinforcement Learning Algorithms/0311.Intuitive Differences Between the Temporal Difference Method and SARSA.mp4 6.83 MB
  18. 02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.mp4 6.02 MB
  19. 02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4 5.60 MB
  20. 03.Implementing Reinforcement Learning Algorithms/0312.Q-values as a Memoization Technique.mp4 5.44 MB
  21. 03.Implementing Reinforcement Learning Algorithms/0302.Dynamic Programming.mp4 4.91 MB
  22. 01.Course Overview/0101.Course Overview.mp4 4.85 MB
  23. 02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.mp4 3.99 MB
  24. 02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.mp4 3.52 MB
  25. 03.Implementing Reinforcement Learning Algorithms/0305.Policy Search Techniques Q-learning and SARSA.mp4 3.47 MB
  26. 02.Understanding the Reinforcement Learning Problem/0201.Module Overview .mp4 2.93 MB
  27. 04.Using Reinforcement Learning Platforms/0407.Summary and Further Study.mp4 2.56 MB
  28. 03.Implementing Reinforcement Learning Algorithms/0301.Module Overview.mp4 1.81 MB
  29. 04.Using Reinforcement Learning Platforms/0401.Module Overview.mp4 1.73 MB
  30. 03.Implementing Reinforcement Learning Algorithms/0306.Intuition Behind Q-learning.srt 12 KB
  31. 02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.srt 11 KB
  32. 03.Implementing Reinforcement Learning Algorithms/0308.Exploring State Space.srt 10 KB
  33. 03.Implementing Reinforcement Learning Algorithms/0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.srt 9 KB
  34. 02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.srt 9 KB
  35. 02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.srt 9 KB
  36. 04.Using Reinforcement Learning Platforms/0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.srt 9 KB
  37. 04.Using Reinforcement Learning Platforms/0406.Demo Q-learning to Balance a Pole on a Cart Simulation.srt 9 KB
  38. 03.Implementing Reinforcement Learning Algorithms/0307.Q-learning Using the Temporal Difference Method and SARSA.srt 8 KB
  39. 02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.srt 7 KB
  40. 04.Using Reinforcement Learning Platforms/0405.Demo Q-learning to Balance a Pole on a Cart.srt 7 KB
  41. 03.Implementing Reinforcement Learning Algorithms/0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.srt 7 KB
  42. 03.Implementing Reinforcement Learning Algorithms/0310.Demo Q-learning for Shortest Path Implementation.srt 7 KB
  43. 03.Implementing Reinforcement Learning Algorithms/0309.Demo Q-learning for Shortest Path Initialization.srt 6 KB
  44. 02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.srt 6 KB
  45. 04.Using Reinforcement Learning Platforms/0402.Exploring Reinforcement Learning Platforms.srt 5 KB
  46. 03.Implementing Reinforcement Learning Algorithms/0311.Intuitive Differences Between the Temporal Difference Method and SARSA.srt 5 KB
  47. 02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.srt 4 KB
  48. 04.Using Reinforcement Learning Platforms/0403.Exploring Environments in the Open AI Gym.srt 4 KB
  49. 03.Implementing Reinforcement Learning Algorithms/0302.Dynamic Programming.srt 3 KB
  50. 02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.srt 3 KB