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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The Little Book of Reinforcement Learning
| Date | Stars |
|---|---|
| 2026-07-31 | 1405 |
| 2026-08-01 | 1411 |
| 2026-08-02 | 1415 |
| 2026-08-03 | 1426 |
| 2026-08-04 | 1435 |
| 2026-08-05 | 1456 |
| 2026-08-06 | 1461 |
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# 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](https://www.amazon.fr/Little-Book-Reinforcement-Learning/dp/B0H3W5PJH6/ref=sr_1_1?crid=3H05NR7B52374&dib=eyJ2IjoiMSJ9.iKUkH6NQiRsFi6D8ARdAPQ.DYkU1dqtml5IBfMqGdpZBANbkpYtC4qDpIUYvxVtRJA&dib_tag=se&keywords=alexandre+torres+leguet&qid=1783721422&sprefix=alexandre+tor%2Caps%2C212&sr=8-1). Versions of the book : - V1 (June 2026) The book is distributed under a non-commercial Creative Commons license (CC BY-SA 4.0).
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