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Udemy - Advanced Reinforcement Learning In Python - From DQN To SAC
TORRENT SUMMARY
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Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: DDPG, TD3, SAC, NAF, HER.
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, Brax, 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) Description This is the most complete Advanced Reinforcement Learning course on Udemy. In it, you will learn to implement some of the most powerful Deep Reinforcement Learning algorithms in Python using PyTorch and PyTorch lightning. You will implement from scratch adaptive algorithms that solve control tasks based on experience. You will learn to combine these techniques with Neural Networks and Deep Learning methods to create adaptive Artificial Intelligence agents capable of solving decision-making tasks.
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FILE LIST
Filename
Size
~Get Your Files Here !/01 - Introduction/001 Introduction.mp4
24.3 MB
~Get Your Files Here !/01 - Introduction/001 Introduction_en.vtt
6.2 KB
~Get Your Files Here !/01 - Introduction/002 Reinforcement Learning series.html
491 B
~Get Your Files Here !/01 - Introduction/003 Google Colab.mp4
5.8 MB
~Get Your Files Here !/01 - Introduction/003 Google Colab_en.vtt
1.8 KB
~Get Your Files Here !/01 - Introduction/004 Where to begin.mp4
5.1 MB
~Get Your Files Here !/01 - Introduction/004 Where to begin_en.vtt
2 KB
~Get Your Files Here !/01 - Introduction/external-assets-links.txt
144 B
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Module Overview.mp4
2.6 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Module Overview_en.vtt
1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 Elements common to all control tasks.mp4
38.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 Elements common to all control tasks_en.vtt
5.9 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/003 The Markov decision process (MDP).mp4
25.1 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/003 The Markov decision process (MDP)_en.vtt
5.7 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/004 Types of Markov decision process.mp4
8.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/004 Types of Markov decision process_en.vtt
2.2 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/005 Trajectory vs episode.mp4
4.9 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/005 Trajectory vs episode_en.vtt
1.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Reward vs Return.mp4
5.3 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Reward vs Return_en.vtt
1.6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/007 Discount factor.mp4
14.8 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/007 Discount factor_en.vtt
4 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/008 Policy.mp4
7.4 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/008 Policy_en.vtt
2.2 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/009 State values v(s) and action values q(s,a).mp4
4.3 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/009 State values v(s) and action values q(s,a)_en.vtt
1.2 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/010 Bellman equations.mp4
12.4 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/010 Bellman equations_en.vtt
3 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/011 Solving a Markov decision process.mp4
14.1 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/011 Solving a Markov decision process_en.vtt
3.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/external-assets-links.txt
144 B
~Get Your Files Here !/03 - Refresher Q-Learning/001 Module overview.mp4
1.5 MB
~Get Your Files Here !/03 - Refresher Q-Learning/001 Module overview_en.vtt
720 B
~Get Your Files Here !/03 - Refresher Q-Learning/002 Temporal difference methods.mp4
12.6 MB
~Get Your Files Here !/03 - Refresher Q-Learning/002 Temporal difference methods_en.vtt
3.5 KB
~Get Your Files Here !/03 - Refresher Q-Learning/003 Solving control tasks with temporal difference methods.mp4
14.5 MB
~Get Your Files Here !/03 - Refresher Q-Learning/003 Solving control tasks with temporal difference methods_en.vtt
3.6 KB
~Get Your Files Here !/03 - Refresher Q-Learning/004 Q-Learning.mp4
11.1 MB
~Get Your Files Here !/03 - Refresher Q-Learning/004 Q-Learning_en.vtt
2.5 KB
~Get Your Files Here !/03 - Refresher Q-Learning/005 Advantages of temporal difference methods.mp4
3.7 MB
~Get Your Files Here !/03 - Refresher Q-Learning/005 Advantages of temporal difference methods_en.vtt
1.2 KB
~Get Your Files Here !/03 - Refresher Q-Learning/external-assets-links.txt
144 B
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/001 Module overview.mp4
1.8 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/001 Module overview_en.vtt
739 B
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/002 Function approximators.mp4
36.3 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/002 Function approximators_en.vtt
8.5 KB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/003 Artificial Neural Networks.mp4
24.3 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/003 Artificial Neural Networks_en.vtt
3.8 KB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/004 Artificial Neurons.mp4
25.6 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/004 Artificial Neurons_en.vtt
5.8 KB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/005 How to represent a Neural Network.mp4
38.2 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/005 How to represent a Neural Network_en.vtt
7.2 KB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/006 Stochastic Gradient Descent.mp4
49.9 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/006 Stochastic Gradient Descent_en.vtt
6.3 KB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/007 Neural Network optimization.mp4
23.4 MB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/007 Neural Network optimization_en.vtt
4.4 KB
~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/external-assets-links.txt
144 B
~Get Your Files Here !/05 - Refresher Deep Q-Learning/001 Module overview.mp4
1.3 MB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/001 Module overview_en.vtt
551 B
~Get Your Files Here !/05 - Refresher Deep Q-Learning/002 Deep Q-Learning.mp4
16.2 MB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/002 Deep Q-Learning_en.vtt
2.9 KB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/003 Experience Replay.mp4
9 MB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/003 Experience Replay_en.vtt
2.2 KB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/004 Target Network.mp4
16.6 MB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/004 Target Network_en.vtt
3.9 KB
~Get Your Files Here !/05 - Refresher Deep Q-Learning/external-assets-links.txt
144 B
~Get Your Files Here !/06 - PyTorch Lightning/001 PyTorch Lightning.mp4
32 MB
~Get Your Files Here !/06 - PyTorch Lightning/001 PyTorch Lightning_en.vtt
9.2 KB
~Get Your Files Here !/06 - PyTorch Lightning/002 Link to the code notebook.html
280 B
~Get Your Files Here !/06 - PyTorch Lightning/003 Introduction to PyTorch Lightning.mp4
30.9 MB
~Get Your Files Here !/06 - PyTorch Lightning/003 Introduction to PyTorch Lightning_en.vtt
6.2 KB
~Get Your Files Here !/06 - PyTorch Lightning/004 Create the Deep Q-Network.mp4
22.9 MB
~Get Your Files Here !/06 - PyTorch Lightning/004 Create the Deep Q-Network_en.vtt
5.1 KB
~Get Your Files Here !/06 - PyTorch Lightning/005 Create the policy.mp4
18 MB
~Get Your Files Here !/06 - PyTorch Lightning/005 Create the policy_en.vtt
5.1 KB
~Get Your Files Here !/06 - PyTorch Lightning/006 Create the replay buffer.mp4
23 MB
~Get Your Files Here !/06 - PyTorch Lightning/006 Create the replay buffer_en.vtt
5.6 KB
~Get Your Files Here !/06 - PyTorch Lightning/007 Create the environment.mp4
32.2 MB
~Get Your Files Here !/06 - PyTorch Lightning/007 Create the environment_en.vtt
7.5 KB
~Get Your Files Here !/06 - PyTorch Lightning/008 Define the class for the Deep Q-Learning algorithm.mp4
54.5 MB
~Get Your Files Here !/06 - PyTorch Lightning/008 Define the class for the Deep Q-Learning algorithm_en.vtt
11.6 KB
~Get Your Files Here !/06 - PyTorch Lightning/009 Define the play_episode() function.mp4
29.1 MB
~Get Your Files Here !/06 - PyTorch Lightning/009 Define the play_episode() function_en.vtt
4.9 KB
~Get Your Files Here !/06 - PyTorch Lightning/010 Prepare the data loader and the optimizer.mp4
30.4 MB
~Get Your Files Here !/06 - PyTorch Lightning/010 Prepare the data loader and the optimizer_en.vtt
4.2 KB
~Get Your Files Here !/06 - PyTorch Lightning/011 Define the train_step() method.mp4
49.8 MB
~Get Your Files Here !/06 - PyTorch Lightning/011 Define the train_step() method_en.vtt
9.3 KB
~Get Your Files Here !/06 - PyTorch Lightning/012 Define the train_epoch_end() method.mp4
32.2 MB
~Get Your Files Here !/06 - PyTorch Lightning/012 Define the train_epoch_end() method_en.vtt
4 KB
~Get Your Files Here !/06 - PyTorch Lightning/013 [Important] Lecture correction.html
613 B
~Get Your Files Here !/06 - PyTorch Lightning/014 Train the Deep Q-Learning algorithm.mp4
35 MB
~Get Your Files Here !/06 - PyTorch Lightning/014 Train the Deep Q-Learning algorithm_en.vtt
6.5 KB
~Get Your Files Here !/06 - PyTorch Lightning/015 Explore the resulting agent.mp4
20.3 MB
~Get Your Files Here !/06 - PyTorch Lightning/015 Explore the resulting agent_en.vtt
2.8 KB
~Get Your Files Here !/06 - PyTorch Lightning/external-assets-links.txt
140 B
~Get Your Files Here !/07 - Hyperparameter tuning with Optuna/001 Hyperparameter tuning with Optuna.mp4
32.4 MB
~Get Your Files Here !/07 - Hyperparameter tuning with Optuna/001 Hyperparameter tuning with Optuna_en.vtt
9.6 KB
~Get Your Files Here !/07 - Hyperparameter tuning with Optuna/002 Link to the code notebook.html
