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

Creation Time	Aug. 3, 2024, 5:04 p.m.
Last Access Time	May 14, 2026, 2:51 p.m.
File Size	1.6 GB
Keywords	cutting-edge Python DQNs - Reinforcement Udemy DevCourseWeb Learning in com Advanced
Total Requests	495
Total Files	142
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~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 69.1 MB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 63.6 MB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 63.3 MB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 62.6 MB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 54.5 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 54.4 MB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 49.9 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 49.9 MB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 49.8 MB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 42.5 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 41.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 38.7 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 38.2 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 36.6 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 36.4 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 36.3 MB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 35.1 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 33.6 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 32.4 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 32.4 MB
~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.mp4 32.2 MB
~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.mp4 32.2 MB
~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.mp4 32.0 MB
~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.mp4 30.9 MB
~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.mp4 30.4 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.mp4 29.8 MB
~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.mp4 29.1 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.mp4 25.6 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).mp4 25.1 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.mp4 24.3 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.mp4 23.4 MB
~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.mp4 23.0 MB
~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.mp4 22.9 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.mp4 20.9 MB
~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.mp4 20.3 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.mp4 19.2 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.mp4 18.5 MB
~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.mp4 18.0 MB
~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.mp4 16.8 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.mp4 16.6 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.mp4 16.2 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.mp4 14.8 MB
~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.mp4 14.5 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.mp4 14.2 MB
~Get Your Files Here !/8. Double Deep Q-Learning/1. Maximization bias and Double Deep Q-Learning.mp4 13.8 MB
~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.mp4 12.6 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.mp4 12.4 MB
~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.mp4 11.1 MB
~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.mp4 9.1 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.mp4 9.0 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.mp4 8.7 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.mp4 7.4 MB
~Get Your Files Here !/1. Introduction/3. Google Colab.mp4 5.8 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.mp4 5.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.mp4 4.9 MB
~Get Your Files Here !/1. Introduction/4. Where to begin.mp4 4.6 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).mp4 4.3 MB
~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.mp4 3.7 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.mp4 2.6 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.mp4 1.8 MB
~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.mp4 1.5 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 174.8 KB
~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.srt 15.1 KB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.srt 15.0 KB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.srt 14.0 KB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.srt 13.6 KB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.srt 12.9 KB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.srt 11.7 KB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.srt 11.0 KB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.srt 10.9 KB
~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.srt 10.5 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.srt 9.8 KB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.srt 9.0 KB
~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.srt 8.9 KB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.srt 8.5 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.srt 8.2 KB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.srt 7.5 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.srt 7.2 KB
~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.srt 7.0 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.srt 6.8 KB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.srt 6.7 KB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.srt 6.7 KB
~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.srt 6.6 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.srt 6.6 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).srt 6.4 KB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.srt 6.2 KB
~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.srt 5.9 KB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.srt 5.8 KB
~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.srt 5.7 KB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.srt 5.6 KB
~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.srt 5.5 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.srt 5.0 KB
~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.srt 4.9 KB
~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.srt 4.7 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.srt 4.6 KB
~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.srt 4.6 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.srt 4.4 KB
~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.srt 4.1 KB
~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.srt 4.1 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.srt 3.6 KB
~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.srt 3.6 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.srt 3.4 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 3.2 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 2.7 KB
~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.srt 2.5 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.srt 2.4 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.srt 2.3 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 1.9 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.srt 1.8 KB
~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.srt 1.7 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 1.2 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.srt 1.1 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

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

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