self-studying the Sutton & Barto the hard way

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

A summary of important concepts and algorithms in RL

A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.

Solutions to Sutton and Barto book exercises

Reinforcement Learning Algorithms in a simple Gridworld

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.

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) 🤘

Implementations of RL Algos and solved exercises for Sutton&Barto RLAI

🧠 Implementation of various Reinforcement Learning algorithms.

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.