[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

DevCourseWeb com Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

File Size： 1.59 GB

Creat Time： 2024-08-08 11:28:44

Last Active： 2024-11-20 21:27:39

Active Degree： 11

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File List：

  1. ~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 70.81 MB
  2. ~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 65.13 MB
  3. ~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 64.83 MB
  4. ~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 64.09 MB
  5. ~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 55.84 MB
  6. ~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 55.69 MB
  7. ~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 51.14 MB
  8. ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 51.07 MB
  9. ~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 50.97 MB
  10. ~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 43.53 MB
  11. ~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 42.27 MB
  12. ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 39.67 MB
  13. ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 39.07 MB
  14. ~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 37.52 MB
  15. ~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 37.31 MB
  16. ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 37.19 MB
  17. ~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 35.89 MB
  18. ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 34.43 MB
  19. ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 33.19 MB
  20. ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.15 MB
  21. ~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.mp4 32.98 MB
  22. ~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.mp4 32.95 MB
  23. ~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.mp4 32.77 MB
  24. ~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.mp4 31.68 MB
  25. ~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.mp4 31.16 MB
  26. ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.mp4 30.55 MB
  27. ~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.mp4 29.81 MB
  28. ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.mp4 26.26 MB
  29. ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).mp4 25.70 MB
  30. ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.mp4 24.93 MB
  31. ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.mp4 23.96 MB
  32. ~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.mp4 23.53 MB
  33. ~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.mp4 23.48 MB
  34. ~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.mp4 21.44 MB
  35. ~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.mp4 20.77 MB
  36. ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.mp4 19.65 MB
  37. ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.mp4 18.96 MB
  38. ~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.mp4 18.47 MB
  39. ~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.mp4 17.16 MB
  40. ~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.mp4 16.98 MB
  41. ~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.mp4 16.56 MB
  42. ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.mp4 15.13 MB
  43. ~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.mp4 14.87 MB
  44. ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.mp4 14.49 MB
  45. ~Get Your Files Here !/8. Double Deep Q-Learning/1. Maximization bias and Double Deep Q-Learning.mp4 14.17 MB
  46. ~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.mp4 12.92 MB
  47. ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.mp4 12.71 MB
  48. ~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.mp4 11.34 MB
  49. ~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.mp4 9.35 MB
  50. ~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.mp4 9.20 MB
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