• 2 min read
A concise RL book now ships with PyTorch code
The Little Book of Reinforcement Learning pairs a short intro to RL with PyTorch implementations from MC to PPO.
Image: Hacker News
The Little Book of Reinforcement Learning is a short introduction to reinforcement learning, covering the field from core concepts to applied algorithms, with a companion GitHub repository that also includes supporting material.
According to the project page, the repo contains:
- the book itself
- PyTorch-based implementations in the algos/ folder for the algorithms covered in the book, ranging from MC to PPO
- additional material in supplementary/, including detailed explanations and rigorous proofs for the dynamic programming algorithms only briefly covered in the book
The author says the document was originally written in 2021, and that more material may be added to the repository over time. The page also links to a printable version of the book.
The listed version is V1 (June 2026), and the book is distributed under the CC BY-SA 4.0 non-commercial Creative Commons license.
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via Hacker News
