# boyu-ai/Hands-on-RL

https://hrl.boyuai.com/

Repository: https://github.com/boyu-ai/Hands-on-RL
Canonical: https://ross.abutalabs.com/products/hands-on-rl
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2022-11-22T06:16:45+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1851, "days_push": 1380, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4959, forks 833 (observed 2026-08-28T04:09:03.866552+00:00)

## What it is
An open-source Chinese-language textbook, 'Hands-on Reinforcement Learning', teaching reinforcement learning from basics to mainstream algorithms through Jupyter Notebooks with explanations and runnable code. It accompanies a free online course and a published print book.

## Use cases
- learn reinforcement learning from scratch
- study mainstream RL algorithms with code examples
- find a free RL course with notebooks
- get runnable Jupyter notebooks for RL algorithms
- supplement an RL textbook with hands-on exercises

## When to choose
- you want a structured, beginner-friendly introduction to reinforcement learning
- you prefer learning via annotated Jupyter notebooks with code
- you read Chinese and want a free accompanying course

## When to avoid
- you need production-ready RL libraries or frameworks
- you only read English and cannot use Chinese-language material
- you need up-to-date coverage of the latest RL research

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: reinforcement-learning, machine-learning
- domain: reinforcement-learning, machine-learning, tutorials, education
- platform: python
- tags: jupyter-notebook, chinese-language, open-textbook, gym, hands-on-course

## Member repositories
- boyu-ai/Hands-on-RL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:03.866552+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:17:48.577930+00:00, confidence not recorded.
  - readme: https://github.com/boyu-ai/Hands-on-RL (fetched 2026-08-28T04:09:03.866552+00:00, sha 53a22b880c83)
- Data as of 2026-08-30T08:39:29.467469+00:00.