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[] Udemy - Deep Reinforcement Learning 2.0

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文件列表

  1. 2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 269MB
  2. 3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2.mp4 202MB
  3. 3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4.mp4 195MB
  4. 4. The Final Demo!/1. Demo - Training.mp4 187MB
  5. 3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15.mp4 180MB
  6. 3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18.mp4 156MB
  7. 3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3.mp4 136MB
  8. 2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 136MB
  9. 4. The Final Demo!/2. Demo - Inference.mp4 124MB
  10. 1. Part 1 - Fundamentals/1. Welcome.mp4 124MB
  11. 3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6.mp4 106MB
  12. 3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19.mp4 99MB
  13. 7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 91MB
  14. 3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8.mp4 84MB
  15. 2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 83MB
  16. 1. Part 1 - Fundamentals/2. Q-Learning.mp4 81MB
  17. 6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 81MB
  18. 3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17.mp4 79MB
  19. 3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16.mp4 78MB
  20. 3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1.mp4 76MB
  21. 5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn.mp4 67MB
  22. 3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 20.mp4 67MB
  23. 6. Annex 2 - Q-Learning/3. The Bellman Equation.mp4 66MB
  24. 6. Annex 2 - Q-Learning/5. Markov Decision Process.mp4 65MB
  25. 5. Annex 1 - Artificial Neural Networks/2. The Neuron.mp4 64MB
  26. 3. Part 3 - Twin Delayed DDPG Implementation/12. Implementation - Step 11.mp4 63MB
  27. 6. Annex 2 - Q-Learning/7. Living Penalty.mp4 63MB
  28. 1. Part 1 - Fundamentals/4. Policy Gradient.mp4 60MB
  29. 7. Annex 3 - Deep Q-Learning/4. Experience Replay.mp4 59MB
  30. 3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 5.mp4 56MB
  31. 7. Annex 3 - Deep Q-Learning/2. Deep Q-Learning Intuition - Step 1.mp4 53MB
  32. 3. Part 3 - Twin Delayed DDPG Implementation/15. Implementation - Step 14.mp4 51MB
  33. 5. Annex 1 - Artificial Neural Networks/4. How do Neural Networks Work.mp4 50MB
  34. 6. Annex 2 - Q-Learning/9. Temporal Difference.mp4 50MB
  35. 3. Part 3 - Twin Delayed DDPG Implementation/14. Implementation - Step 13.mp4 47MB
  36. 6. Annex 2 - Q-Learning/8. Q-Learning Intuition.mp4 40MB
  37. 5. Annex 1 - Artificial Neural Networks/6. Gradient Descent.mp4 39MB
  38. 6. Annex 2 - Q-Learning/6. Policy vs Plan.mp4 37MB
  39. 5. Annex 1 - Artificial Neural Networks/7. Stochastic Gradient Descent.mp4 35MB
  40. 1. Part 1 - Fundamentals/3. Deep Q-Learning.mp4 35MB
  41. 6. Annex 2 - Q-Learning/2. What is Reinforcement Learning.mp4 34MB
  42. 3. Part 3 - Twin Delayed DDPG Implementation/13. Implementation - Step 12.mp4 34MB
  43. 5. Annex 1 - Artificial Neural Networks/8. Backpropagation.mp4 33MB
  44. 3. Part 3 - Twin Delayed DDPG Implementation/10. Implementation - Step 9.mp4 33MB
  45. 1. Part 1 - Fundamentals/6. Taxonomy of AI models.mp4 29MB
  46. 3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 7.mp4 29MB
  47. 3. Part 3 - Twin Delayed DDPG Implementation/11. Implementation - Step 10.mp4 28MB
  48. 1. Part 1 - Fundamentals/5. Actor-Critic.mp4 25MB
  49. 5. Annex 1 - Artificial Neural Networks/3. The Activation Function.mp4 24MB
  50. 7. Annex 3 - Deep Q-Learning/3. Deep Q-Learning Intuition - Step 2.mp4 23MB
  51. 2. Part 2 - Twin Delayed DDPG Theory/4. The whole training process.mp4 22MB
  52. 3. Part 3 - Twin Delayed DDPG Implementation/1. Beginning.mp4 20MB
  53. 6. Annex 2 - Q-Learning/4. The Plan.mp4 12MB
  54. 6. Annex 2 - Q-Learning/1. Plan of Attack.mp4 10MB
  55. 5. Annex 1 - Artificial Neural Networks/1. Plan of Attack.mp4 7MB
  56. 7. Annex 3 - Deep Q-Learning/1. Plan of Attack.mp4 5MB
  57. 6. Annex 2 - Q-Learning/3. The Bellman Equation-en_US.srt 31KB
  58. 6. Annex 2 - Q-Learning/9. Temporal Difference-en_US.srt 29KB
  59. 4. The Final Demo!/1. Demo - Training-en_US.srt 28KB
  60. 6. Annex 2 - Q-Learning/5. Markov Decision Process-en_US.srt 27KB
  61. 2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part-en_US.srt 27KB
  62. 5. Annex 1 - Artificial Neural Networks/2. The Neuron-en_US.srt 26KB
  63. 7. Annex 3 - Deep Q-Learning/5. Action Selection Policies-en_US.srt 25KB
  64. 7. Annex 3 - Deep Q-Learning/4. Experience Replay-en_US.srt 24KB
  65. 1. Part 1 - Fundamentals/1. Welcome-en_US.srt 23KB
  66. 7. Annex 3 - Deep Q-Learning/2. Deep Q-Learning Intuition - Step 1-en_US.srt 23KB
  67. 6. Annex 2 - Q-Learning/8. Q-Learning Intuition-en_US.srt 22KB
  68. 6. Annex 2 - Q-Learning/6. Policy vs Plan-en_US.srt 22KB
  69. 6. Annex 2 - Q-Learning/10. Q-Learning Visualization-en_US.srt 21KB
  70. 3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1-en_US.srt 21KB
  71. 3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18-en_US.srt 20KB
  72. 2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization-en_US.srt 20KB
  73. 5. Annex 1 - Artificial Neural Networks/4. How do Neural Networks Work-en_US.srt 20KB
  74. 3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2-en_US.srt 20KB
  75. 3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15-en_US.srt 19KB
  76. 5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn-en_US.srt 19KB
  77. 2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part-en_US.srt 19KB
  78. 3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4-en_US.srt 19KB
  79. 6. Annex 2 - Q-Learning/2. What is Reinforcement Learning-en_US.srt 19KB
  80. 3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3-en_US.srt 17KB
  81. 3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19-en_US.srt 17KB
  82. 1. Part 1 - Fundamentals/2. Q-Learning-en_US.srt 15KB
  83. 4. The Final Demo!/2. Demo - Inference-en_US.srt 15KB
  84. 3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 5-en_US.srt 15KB
  85. 5. Annex 1 - Artificial Neural Networks/6. Gradient Descent-en_US.srt 14KB
  86. 6. Annex 2 - Q-Learning/7. Living Penalty-en_US.srt 14KB
  87. 3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6-en_US.srt 14KB
  88. 3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16-en_US.srt 12KB
  89. 5. Annex 1 - Artificial Neural Networks/7. Stochastic Gradient Descent-en_US.srt 12KB
  90. 5. Annex 1 - Artificial Neural Networks/3. The Activation Function-en_US.srt 12KB
  91. 1. Part 1 - Fundamentals/6. Taxonomy of AI models-en_US.srt 11KB
  92. 3. Part 3 - Twin Delayed DDPG Implementation/12. Implementation - Step 11-en_US.srt 10KB
  93. 3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8-en_US.srt 10KB
  94. 7. Annex 3 - Deep Q-Learning/3. Deep Q-Learning Intuition - Step 2-en_US.srt 10KB
  95. 3. Part 3 - Twin Delayed DDPG Implementation/15. Implementation - Step 14-en_US.srt 10KB
  96. 1. Part 1 - Fundamentals/3. Deep Q-Learning-en_US.srt 10KB
  97. 1. Part 1 - Fundamentals/4. Policy Gradient-en_US.srt 9KB
  98. 3. Part 3 - Twin Delayed DDPG Implementation/1. Beginning-en_US.srt 8KB
  99. 3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17-en_US.srt 8KB
  100. 3. Part 3 - Twin Delayed DDPG Implementation/14. Implementation - Step 13-en_US.srt 8KB
  101. 3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 20-en_US.srt 8KB
  102. 5. Annex 1 - Artificial Neural Networks/8. Backpropagation-en_US.srt 7KB
  103. 3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 7-en_US.srt 6KB
  104. 3. Part 3 - Twin Delayed DDPG Implementation/13. Implementation - Step 12-en_US.srt 6KB
  105. 6. Annex 2 - Q-Learning/1. Plan of Attack-en_US.srt 6KB
  106. 1. Part 1 - Fundamentals/5. Actor-Critic-en_US.srt 6KB
  107. 3. Part 3 - Twin Delayed DDPG Implementation/11. Implementation - Step 10-en_US.srt 6KB
  108. 3. Part 3 - Twin Delayed DDPG Implementation/10. Implementation - Step 9-en_US.srt 5KB
  109. 2. Part 2 - Twin Delayed DDPG Theory/4. The whole training process-en_US.srt 5KB
  110. 5. Annex 1 - Artificial Neural Networks/1. Plan of Attack-en_US.srt 4KB
  111. 6. Annex 2 - Q-Learning/4. The Plan-en_US.srt 4KB
  112. 7. Annex 3 - Deep Q-Learning/1. Plan of Attack-en_US.srt 4KB
  113. 1. Part 1 - Fundamentals/BONUS 5 Advantages of DRL.html 2KB
  114. 1. Part 1 - Fundamentals/BONUS Learning Path.html 1KB
  115. 8. Bonus Lectures/YOUR SPECIAL BONUS.html 1KB
  116. 1. Part 1 - Fundamentals/BONUS RL Algorithms Map.html 1KB
  117. 1. Part 1 - Fundamentals/Some resources before we start.html 1KB
  118. 3. Part 3 - Twin Delayed DDPG Implementation/The whole code folder of the course with all the implementations.html 759B
  119. 1. Part 1 - Fundamentals/Get the materials.html 319B
  120. 0. Websites you may like/[Tutorialsplanet.NET].url 128B
  121. 1. Part 1 - Fundamentals/[Tutorialsplanet.NET].url 128B
  122. 4. The Final Demo!/[Tutorialsplanet.NET].url 128B
  123. 8. Bonus Lectures/[Tutorialsplanet.NET].url 128B
  124. [Tutorialsplanet.NET].url 128B