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alxndrTL/little-book-rl

A short introductory book on reinforcement learning, from basics to applied algorithms, with PyTorch implementations in the repo.

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What is it?

The Little Book of Reinforcement Learning is a short introduction to reinforcement learning that moves from foundational concepts to applied algorithms. This repository hosts the book together with its supplementary material.

The algos/ folder contains PyTorch implementations of the algorithms covered in the book, ranging from Monte Carlo methods to PPO. The supplementary/ folder holds a document with detailed explanations and formal proofs for the dynamic programming algorithms that the book introduces briefly.

The book is distributed under a non-commercial Creative Commons license (CC BY-SA 4.0), and a printed edition is available for purchase.

Key features

  • 01Covers reinforcement learning from basic concepts to applied algorithms.
  • 02Provides PyTorch implementations of algorithms from Monte Carlo to PPO.
  • 03Includes supplementary proofs for dynamic programming methods.
  • 04Distributed under a non-commercial CC BY-SA 4.0 license.

Use cases

  • Learning reinforcement learning from scratch with a concise textbook.
  • Studying working PyTorch code alongside the algorithms described in the book.
  • Reviewing the proofs behind dynamic programming methods.

Things to know

  • The README describes the license as non-commercial but names CC BY-SA 4.0, which does not restrict commercial use, so the terms are unclear.
  • The repository metadata lists no license.
  • The README gives no installation or run instructions for the PyTorch implementations in algos/.

Topics

#reinforcement-learning#pytorch#machine-learning#textbook#deep-learning

FAQ

What is little-book-rl?
A short introductory book on reinforcement learning, from basics to applied algorithms, with PyTorch implementations in the repo. The Little Book of Reinforcement Learning is a short introduction to reinforcement learning that moves from foundational concepts to applied algorithms. This repository hosts the book together with its supplementary material.
Is little-book-rl free to use? What license does it have?
little-book-rl has no declared license. Its code is public, but without a license you have no explicit permission to reuse it; ask the author before relying on it.
Is little-book-rl still maintained?
Updated within 6 months. The last commit to little-book-rl was on Jul 14, 2026.
What can I use little-book-rl for?
Learning reinforcement learning from scratch with a concise textbook. Studying working PyTorch code alongside the algorithms described in the book. Reviewing the proofs behind dynamic programming methods.
Where can I get little-book-rl?
The source code and installation instructions are on GitHub: https://github.com/alxndrTL/little-book-rl

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