• 2 min read
A compact RL book now bundles code from MC to PPO
The Little Book of Reinforcement Learning pairs a short intro text with PyTorch implementations and supplementary proofs.
Image: Hacker News
The Little Book of Reinforcement Learning is available on GitHub as a concise introduction to reinforcement learning, covering the field from fundamentals to applied algorithms.
The repository includes more than the book itself. According to the project page, the algos/ folder contains PyTorch-based implementations of the algorithms covered in the text, ranging from MC to PPO. The supplementary/ folder adds more detailed explanations and rigorous proofs for the dynamic programming algorithms that the book covers briefly.
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The author says the document was originally written in 2021, with additional material expected to be added to the repository over time. A printable version is also available through the project page.
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
