@yashetal: https://github.com/alxndrTL/little-book-rl… The tiny book RL is also available here for community with its supplement m…
Summary
The Little Book of Reinforcement Learning, a concise introduction to RL with PyTorch implementations and supplementary material, has been shared on GitHub by Alexandre TL.
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https://github.com/alxndrTL/little-book-rl… The tiny book RL is also available here for community with its supplement material. This is so cool
alxndrTL/little-book-rl
Source: https://github.com/alxndrTL/little-book-rl
The Little Book of Reinforcement Learning
This is the associated GitHub page of the Little Book of Reinforcement Learning.
This book is a short introduction to Reinforcement Learning, from the basics to applied algorithms.
In this repo, along with the book itself, you can find the supplementary material of the book. More precisely:
- under the
algos/folder, the Pytorch-based implementation of the different algorihms covered in the book, from MC to PPO. - under the
supplementary/folder, you can find detailed explanations and rigorous proofs for the dynamic programming algorithms briefly covered in the book. This is a document I wrote in 2021.
More material is subject to be added along the way in this repo.
You can print one for youself here.
Versions of the book :
- V1 (June 2026)
The book is distributed under a non-commercial Creative Commons license.
Alexandre TL (@AlexandreTL2): So I have been busy these last few months! Happy to present : The Little Book of Reinforcement Learning
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