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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：aeee5efd07e93d9cdfd0364549553eb4ef7059d7
文件大小： 1.55G
已经下载：2628次
下载速度：极快
收录时间：2022-04-09
最近下载：2025-10-09

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磁力链接

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文件列表

  • ~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 72.5 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 66.7 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 66.4 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 65.6 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 57.0 MB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 52.4 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 52.2 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 44.6 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 43.3 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 38.4 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 38.2 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 36.8 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 35.3 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 34.0 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.9 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.mp4 33.8 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.mp4 33.7 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.mp4 33.6 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.mp4 32.4 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.mp4 31.9 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.mp4 31.3 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.mp4 30.5 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.mp4 26.9 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).mp4 26.3 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.mp4 25.5 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.mp4 24.5 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.mp4 24.1 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.mp4 24.0 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.mp4 22.0 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.mp4 21.3 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.mp4 20.1 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.mp4 19.4 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.mp4 18.9 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.mp4 17.6 MB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.mp4 17.4 MB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.mp4 17.0 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.mp4 15.5 MB
  • ~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.mp4 15.2 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.mp4 14.8 MB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/1. Maximization bias and Double Deep Q-Learning.mp4 14.5 MB
  • ~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.mp4 13.2 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.mp4 13.0 MB
  • ~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.mp4 11.6 MB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.mp4 9.6 MB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.mp4 9.4 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.mp4 9.1 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.mp4 7.8 MB
  • ~Get Your Files Here !/1. Introduction/3. Google Colab.mp4 6.1 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.mp4 5.6 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.mp4 5.2 MB
  • ~Get Your Files Here !/1. Introduction/4. Where to begin.mp4 4.8 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).mp4 4.5 MB
  • ~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.mp4 3.9 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.mp4 2.7 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.mp4 1.9 MB
  • ~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.mp4 1.6 MB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.mp4 1.3 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4.jpg 179.0 kB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.srt 15.5 kB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.srt 15.4 kB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.srt 14.3 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.srt 14.0 kB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.srt 13.2 kB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.srt 11.9 kB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.srt 11.2 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.srt 11.1 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.srt 10.7 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.srt 10.0 kB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.srt 9.2 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.srt 9.1 kB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.srt 8.7 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.srt 8.4 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.srt 7.7 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.srt 7.4 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.srt 7.1 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.srt 7.0 kB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.srt 6.8 kB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.srt 6.8 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.srt 6.7 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.srt 6.7 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).srt 6.5 kB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.srt 6.3 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.srt 6.1 kB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.srt 5.9 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.srt 5.9 kB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.srt 5.7 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.srt 5.6 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.srt 5.1 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.srt 5.0 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.srt 4.8 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.srt 4.7 kB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.srt 4.7 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.srt 4.5 kB
  • ~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.srt 4.2 kB
  • ~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.srt 4.2 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.srt 3.7 kB
  • ~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.srt 3.7 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.srt 3.5 kB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.srt 3.4 kB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.srt 3.3 kB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.srt 3.1 kB
  • ~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.srt 2.9 kB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.srt 2.8 kB
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.srt 2.6 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.srt 2.5 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.srt 2.4 kB
  • ~Get Your Files Here !/1. Introduction/4. Where to begin.srt 2.1 kB
  • ~Get Your Files Here !/1. Introduction/3. Google Colab.srt 2.0 kB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.srt 2.0 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.srt 1.9 kB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.srt 1.8 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).srt 1.3 kB
  • ~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.srt 1.3 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.srt 1.3 kB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.srt 1.2 kB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.srt 850 Bytes
  • ~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.srt 798 Bytes
  • ~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.srt 602 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • ~Get Your Files Here !/1. Introduction/2. Reinforcement Learning series.html 377 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
  • ~Get Your Files Here !/6. PyTorch Lightning/2.1 Google colab.html 176 Bytes
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/2.1 Google colab.html 176 Bytes
  • ~Get Your Files Here !/6. PyTorch Lightning/2. Link to the code notebook.html 169 Bytes
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/2. Link to the code notebook.html 169 Bytes
  • ~Get Your Files Here !/8. Double Deep Q-Learning/2. Link to the code notebook.html 169 Bytes
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/2.1 Google colab.html 166 Bytes
  • ~Get Your Files Here !/8. Double Deep Q-Learning/2.1 Google colab.html 165 Bytes
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/2. Link to the code notebook.html 159 Bytes
  • ~Get Your Files Here !/1. Introduction/1.1 Advanced Reinforcement Learning in Python from DQN to SAC.html 147 Bytes
  • ~Get Your Files Here !/1. Introduction/1.2 Reinforcement Learning beginner to master.html 145 Bytes
  • ~Get Your Files Here !/10. Prioritized Experience Replay/1. Prioritized Experience Replay.html 79 Bytes
  • ~Get Your Files Here !/10. Prioritized Experience Replay/2. Link to the code notebook.html 79 Bytes
  • ~Get Your Files Here !/11. Noisy Deep Q-Networks/1. Noisy Deep Q-Networks.html 79 Bytes
  • ~Get Your Files Here !/12. N-step Deep Q-Learning/1. N-step Deep Q-Learning.html 79 Bytes
  • ~Get Your Files Here !/13. Distributional Deep Q-Networks/1. Distributional Deep Q-Networks.html 79 Bytes
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/1. Dueling Deep Q-Networks.html 79 Bytes

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