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种子名称： [ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs
文件类型： 视频
文件数目： 62个文件
文件大小： 1.55 GB
收录时间： 2023-12-27 05:15
已经下载： 3次
资源热度： 67
最近下载： 2024-4-28 03:00

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

~Get Your Files Here !/1. Introduction/1. Introduction.mp432.37MB

~Get Your Files Here !/1. Introduction/3. Google Colab.mp45.77MB

~Get Your Files Here !/1. Introduction/4. Where to begin.mp44.61MB

~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp469.15MB

~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp463.61MB

~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp462.59MB

~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp463.31MB

~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp442.51MB

~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.mp416.76MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.mp42.61MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.mp412.41MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.mp414.15MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp438.74MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).mp425.1MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.mp48.68MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.mp44.95MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.mp45.3MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.mp414.78MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.mp47.41MB

~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).mp44.29MB

~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.mp41.49MB

~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.mp412.62MB

~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.mp414.52MB

~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.mp411.07MB

~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.mp43.71MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.mp41.78MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp436.32MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.mp424.35MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.mp425.64MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp438.16MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp449.87MB

~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.mp423.4MB

~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.mp41.27MB

~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.mp416.17MB

~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.mp48.99MB

~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.mp416.58MB

~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.mp432.01MB

~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.mp430.43MB

~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp449.77MB

~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.mp432.17MB

~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp435.05MB

~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.mp420.28MB

~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.mp430.94MB

~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.mp422.93MB

~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.mp418.04MB

~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.mp422.98MB

~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.mp432.21MB

~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp454.53MB

~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.mp429.11MB

~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp432.42MB

~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp433.63MB

~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.mp429.84MB

~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.mp418.52MB

~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.mp419.19MB

~Get Your Files Here !/8. Double Deep Q-Learning/1. Maximization bias and Double Deep Q-Learning.mp413.84MB

~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp449.94MB

~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.mp49.13MB

~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp454.38MB

~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp441.28MB

~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp436.64MB

~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp436.43MB

~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.mp420.94MB