self-studying the Sutton & Barto the hard way
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Updated
Nov 27, 2021 - Python
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)
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.
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and 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
Reinforcement Learning (Sutton, Barto) - solved exercises
This repo consists of all the Python notebooks that are part of the Coursera specialization for Reinforcement Learning.
|| Studying RL the hard way || Implementation of Important Algorithms in PyTorch from "Reinforcement Learning an Introduction" by Sutton and Barto along with RL papers
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) 🤘
🧠 Implementation of various Reinforcement Learning algorithms.
Implementations of RL Algos and solved exercises for Sutton&Barto RLAI
Some python implementations from the book, "Reinforcement Learning: An Introduction" by Andrew Barto and Richard S. Sutton.
Own implementation of the Q-learning algorithm presented on the example of the "treasure hunter" game.
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