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GitHub - alxndrTL/little-book-rl: The Little Book of Reinforcement Learning

▲ 213 points • 26 comments • by mustaphah • 4mo ago • HN discussion ↗

Pangram verdict · v3.3

We believe that this document is fully human-written

0 %

AI likelihood · overall

Human
100% human-written 0% AI-generated
SEGMENTS · HUMAN 1 of 1
SEGMENTS · AI 0 of 1
WORD COUNT 137
PEAK AI % 0% · §1
Analyzed
Jul 16
backend: pangram/v3.3
Segments scanned
1 windows
avg 137 words each
Distribution
100 / 0%
human / AI fraction
Verdict
Human
Pangram v3.3

Article text · 137 words · 1 segments analyzed

Human AI-generated
§1 Human · 0%

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 (CC BY-SA 4.0).