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reinforcement-learning-resources
A curated list of awesome reinforcement courses, video lectures, books, library and many more.
https://github.com/datascienceid/reinforcement-learning-resources
- Reinforcement Learning: An Introduction 1st Ed by Richard Sutton and Andrew Barto
- Reinforcement Learning: An Introduction 2nd Edition, in progress by Richard Sutton and Andrew Barto
- Algorithms for Reinforcement Learning by Csaba Szepesvari
- Artificial Intelligence: Foundations of Computational Agents by David Poole and Alan Mackworth
- 10703: Deep Reinforcement Learning and Control, Spring 2017
- Reinforcement Learning
- Practical Reinforcement Learning
- Reinforcement Learning Explained
- Practical Reinforcement Learning
- COMPM050/COMPGI13 Reinforcement Learning
- CS294 Deep Reinforcement Learning
- CS229 Machine Learning - Lecture 16: Reinforcement Learning
- Deep RL Bootcamp
- Lecture 2: Deep Reinforcement Learning for Motion Planning
- Lecture 8: Markov Decision Processes 1
- Lecture 9: Markov Decision Processes 2
- Lecture 10: Reinforcement Learning 1
- Lecture 11: Reinforcement Learning 2
- MIT 6.S191: Reinforcement Learning
- Generalization in Reinforcement Learning: Successful examples using sparse coding, Richard S. Sutton
- Learning from Delayed Rewards, Christopher J. C. H. Watkins
- Learning to predict by the methods of temporal differences, Richard S. Sutton
- Learning from Delayed Rewards, Cambridge, Chris Watkins
- Monte Carlo Inversion and Reinforcement Learning, Andrew Barto, Michael Duff
- Reinforcement Learning with Replacing Eligibility Traces, Machine Learning, Satinder P. Singh, Richard S. Sutton
- Reinforcement Learning
- Reinforcement Learning Tutorial
- Let’s make a DQN: Implementation
- Simple Reinforcement Learning with Tensorflow Part 4: Deep Q-Networks and Beyond
- Reinforcement Learning: An Introduction (2nd Edition)
- OpenAI gym
- OpenAI Retro
- Deep Mind Lab
- RL-Library
- RL Lab