Udemy - Advanced Reinforcement Learning In Python - Cutting-Edge DQNs

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Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNsUdemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

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Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs.torrent
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aeee5efd07e93d9cdfd0364549553eb4ef7059d7
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1.6 GB in 98 files
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Uploaded on 08-04-2022 by our crawler pet called "Spidey".
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Description

Advanced Reinforcement Learning in Python: cutting-edge DQNs



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 73 lectures (5h 9m) | Size: 1.6 GB

Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: From basic DQN to Rainbow DQN

What you'll learn
Master some of the most advanced Reinforcement Learning algorithms.
Learn how to create AIs that can act in a complex environment to achieve their goals.
Create from scratch advanced Reinforcement Learning agents using Python's most popular tools (PyTorch Lightning, OpenAI gym, Optuna)
Learn how to perform hyperparameter tuning (Choosing the best experimental conditions for our AI to learn)
Fundamentally understand the learning process for each algorithm.
Debug and extend the algorithms presented.
Understand and implement new algorithms from research papers.

Requirements
Be comfortable programming in Python
Completing our course "Reinforcement Learning beginner to master" or being familiar with the basics of Reinforcement Learning (or watching the leveling sections included in this course).
Know basic statistics (mean, variance, normal distribution)

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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Introduction/1. Introduction.mp432.4 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4.jpg174.8 KB
~Get Your Files Here !/1. Introduction/1.1 Advanced Reinforcement Learning in Python from DQN to SAC.html147 B
~Get Your Files Here !/1. Introduction/1.2 Reinforcement Learning beginner to master.html145 B
~Get Your Files Here !/1. Introduction/2. Reinforcement Learning series.html377 B
~Get Your Files Here !/1. Introduction/3. Google Colab.mp45.8 MB
~Get Your Files Here !/1. Introduction/3. Google Colab.srt2 KB
~Get Your Files Here !/1. Introduction/4. Where to begin.mp44.6 MB
~Get Your Files Here !/1. Introduction/4. Where to begin.srt2.1 KB
~Get Your Files Here !/10. Prioritized Experience Replay/1. Prioritized Experience Replay.html79 B
~Get Your Files Here !/10. Prioritized Experience Replay/2. Link to the code notebook.html79 B
~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp469.1 MB
~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.srt15.1 KB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp463.6 MB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.srt15 KB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp462.6 MB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.srt14 KB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp463.3 MB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.srt12.9 KB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp442.5 MB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.srt5.8 KB
~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.mp416.8 MB
~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.srt1.9 KB
~Get Your Files Here !/11. Noisy Deep Q-Networks/1. Noisy Deep Q-Networks.html79 B
~Get Your Files Here !/12. N-step Deep Q-Learning/1. N-step Deep Q-Learning.html79 B
~Get Your Files Here !/13. Distributional Deep Q-Networks/1. Distributional Deep Q-Networks.html79 B
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.mp42.6 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.srt1.1 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.mp412.4 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.srt3.4 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.mp414.2 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.srt3.6 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp438.7 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.srt6.8 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).mp425.1 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).srt6.4 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.mp48.7 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.srt2.4 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.mp44.9 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.srt1.2 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.mp45.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.srt1.8 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.mp414.8 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.srt4.6 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.mp47.4 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.srt2.3 KB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).mp44.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).srt1.3 KB
~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.mp41.5 MB
~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.srt798 B
~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.mp412.6 MB
~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.srt4.1 KB
~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.mp414.5 MB
~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.srt4.1 KB
~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.mp411.1 MB
~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.srt2.9 KB
~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.mp43.7 MB
~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.srt1.3 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.mp41.8 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.srt850 B
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp436.3 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.srt9.8 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.mp424.3 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.srt4.4 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.mp425.6 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.srt6.6 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp438.2 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.srt8.2 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp449.9 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.srt7.2 KB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.mp423.4 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.srt5 KB
~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.mp41.3 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.srt602 B
~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.mp416.2 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.srt3.4 KB
~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.mp49 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.srt2.5 KB
~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.mp416.6 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.srt4.6 KB
~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.mp432 MB
~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.srt10.5 KB
~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.mp430.4 MB
~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.srt4.9 KB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp449.8 MB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.srt10.9 KB
~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.mp432.2 MB
~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.srt4.7 KB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp435.1 MB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.srt7.5 KB
~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.mp420.3 MB
~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.srt3.6 KB
~Get Your Files Here !/6. PyTorch Lightning/2. Link to the code notebook.html169 B
~Get Your Files Here !/6. PyTorch Lightning/2.1 Google colab.html176 B
~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.mp430.9 MB
~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.srt7 KB
~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.mp422.9 MB
~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.srt5.9 KB

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