The Little Book of Reinforcement Learning: A Concise Guide with Pytorch Code

The Little Book of Reinforcement Learning

I created this short introduction to Reinforcement Learning to guide readers from fundamental concepts to applied algorithms. Alongside the book, I have shared Pytorch implementations ranging from Monte Carlo methods to PPO, plus rigorous proofs for dynamic programming. Written in 2021 and available under a Creative Commons license, this resource aims to make complex AI topics accessible for everyone.

"This book is a short introduction to Reinforcement Learning, from the basics to applied algorithms."