PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
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Updated
Aug 14, 2025 - Python
URL: http://github.com/topics/sutton-barto-book
eet" href="https://github.githubassets.com/assets/dashboard-eeb24c97b4dcb019.css" />PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
self-studying the Sutton & Barto the hard way
Solutions to Sutton and Barto book exercises
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
A summary of important concepts and algorithms in RL
Reinforcement Learning Algorithms in FrozenLake-v1
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
Python implementation of RL algorithms presented in Richard Sutton and Andrew Barto's book Reinforcement Learning: An Introduction (second edtion)
Reinforcement learning algorithms, models and experiments.
Classic RL control algorithm implementations found in Sutton and Barto book.
Reinforcement Learning (Sutton, Barto) - solved exercises
This repo consists of all the Python notebooks that are part of the Coursera specialization for Reinforcement Learning.
Recreation of the classic video-game "The Snake" into a 3D scenario. Implemented with Monte Carlo ES algorithm.
Not A Replication of Sutton
implementations of RL algorithms from Sutton's textbook and various papers
⚡️ Code and Notes 📝 for Grokking Deep RL and RL: An Introduction by Sutton & Barto(2nd edition, 2018) 🤘
simple cliff walk implementation
Own implementation of the Q-learning algorithm presented on the example of the "treasure hunter" game.
🧠 Implementation of various Reinforcement Learning algorithms.
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