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Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: (REINFORCE, A2C, PPO, etc)
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) Description This is the most complete Reinforcement Learning course series 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.html
70 B
~Get Your Files Here !/01 - Introduction/002 Reinforcement Learning series.html
699 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
1.7 KB
~Get Your Files Here !/01 - Introduction/004 Where to begin.html
70 B
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks.mp4
38.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks_en.vtt
6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP).mp4
25.1 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP)_en.vtt
5.6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/003 Types of Markov decision process.mp4
8.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/003 Types of Markov decision process_en.vtt
2.2 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/004 Trajectory vs episode.mp4
4.9 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/004 Trajectory vs episode_en.vtt
1.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/005 Reward vs Return.mp4
5.3 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/005 Reward vs Return_en.vtt
1.6 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor.mp4
14.8 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor_en.vtt
4.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/007 Policy.mp4
7.4 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/007 Policy_en.vtt
2.1 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/008 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)/008 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)/009 Bellman equations.mp4
12.4 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/009 Bellman equations_en.vtt
3 KB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/010 Solving a Markov decision process.mp4
14.1 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/010 Solving a Markov decision process_en.vtt
3.2 KB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/001 Monte Carlo methods.mp4
13.7 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/001 Monte Carlo methods_en.vtt
3.3 KB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods.mp4
23.8 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods_en.vtt
7 KB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control.mp4
20.4 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control_en.vtt
4.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/001 Temporal difference methods.mp4
12.6 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/001 Temporal difference methods_en.vtt
3.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods.mp4
14.5 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods_en.vtt
3.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/003 Monte Carlo vs temporal difference methods.mp4
8.9 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/003 Monte Carlo vs temporal difference methods_en.vtt
1.6 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA.mp4
17.8 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA_en.vtt
3.9 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/005 Q-Learning.mp4
11.1 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/005 Q-Learning_en.vtt
2.5 KB
~Get Your Files Here !/04 - Refresher Temporal difference methods/006 Advantages of temporal difference methods.mp4
3.7 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/006 Advantages of temporal difference methods_en.vtt
1.2 KB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/001 N-step temporal difference methods.mp4
12.5 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/001 N-step temporal difference methods_en.vtt
3.4 KB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/002 Where do n-step methods fit.mp4
11.1 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/002 Where do n-step methods fit_en.vtt
2.7 KB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n.mp4
28 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n_en.vtt
4.6 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators.mp4
36.3 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators_en.vtt
8.6 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks.mp4
24.4 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks_en.vtt
3.9 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons.mp4
25.6 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons_en.vtt
5.8 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network.mp4
38.2 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network_en.vtt
7.3 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent.mp4
49.8 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent_en.vtt
6.4 KB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization.mp4
23.4 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization_en.vtt
4.4 KB
~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods.mp4
21.7 MB
~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods_en.vtt
4.7 KB
~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks.mp4
27.8 MB
~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks_en.vtt
5.2 KB
~Get Your Files Here !/07 - Refresher REINFORCE/003 Policy performance.mp4
8.5 MB
~Get Your Files Here !/07 - Refresher REINFORCE/003 Policy performance_en.vtt
2.6 KB
~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem.mp4
15.9 MB
~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem_en.vtt
3.8 KB
~Get Your Files Here !/07 - Refresher REINFORCE/005 REINFORCE.mp4
13.2 MB
~Get Your Files Here !/07 - Refresher REINFORCE/005 REINFORCE_en.vtt
4.1 KB
~Get Your Files Here !/07 - Refresher REINFORCE/006 Parallel learning.mp4
12.3 MB
~Get Your Files Here !/07 - Refresher REINFORCE/006 Parallel learning_en.vtt
3.6 KB
~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization.mp4
23.2 MB
~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization_en.vtt
6.6 KB
~Get Your Files Here !/07 - Refresher REINFORCE/008 REINFORCE 2.mp4
10.9 MB
~Get Your Files Here !/07 - Refresher REINFORCE/008 REINFORCE 2_en.vtt
2.4 KB
~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning.mp4
32 MB
~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning_en.vtt
9.3 KB
~Get Your Files Here !/08 - PyTorch Lightning/002 Link to the code notebook.html
70 B
~Get Your Files Here !/09 - REINFORCE for continuous control tasks/001 REINFORCE for continuous action spaces.html
70 B
~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C.mp4
50.1 MB
~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C_en.vtt
10.6 KB
~Get Your Files Here !/11 - Generalized Advantage Estimation (GAE)/001 Generalized Advantage Estimation.html
70 B
~Get Your Files Here !/12 - Proximal Policy Optimization (PPO)/001 Proximal Policy Optimization.html
70 B
~Get Your Files Here !/13 - Phasic PPO/001 Phasic PPO.html
