# aikorea/awesome-rl

Reinforcement learning resources curated

Repository: https://github.com/aikorea/awesome-rl
Canonical: https://ross.abutalabs.com/products/awesome-rl
Homepage: http://aikorea.org/awesome-rl
License Family: other
Last push: 2023-05-25T22:25:44+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4041, "days_push": 1196, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9920, forks 1945 (observed 2026-08-28T04:10:38.813929+00:00)

## What it is
A curated list of reinforcement learning resources including lectures, books, papers, code libraries, tutorials, and open-source RL platforms. It is an awesome-list style reference document rather than software.

## Use cases
- find reinforcement learning tutorials and courses
- discover open-source RL libraries and platforms
- learn RL theory from recommended books and papers
- find RL code examples for Sutton and Barto's book
- explore RL applications in robotics and game playing

## When to choose
- you want a broad starting point for learning reinforcement learning
- you need links to classic RL papers, books, and code

## When to avoid
- you need up-to-date resources - the list is no longer maintained
- you need a working RL library rather than a resource index

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation
- domain: reinforcement-learning, machine-learning, tutorials, awesome-lists
- platform: cross-platform
- tags: awesome-list, curated-resources, reinforcement-learning

## Member repositories
- aikorea/awesome-rl (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:38.813929+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 2026-08-29T17:20:18.648701+00:00, confidence not recorded.
  - readme: https://github.com/aikorea/awesome-rl (fetched 2026-08-28T04:10:38.813929+00:00, sha 331378be7de1)
  - homepage: http://aikorea.org/awesome-rl (fetched 2026-08-29T08:20:21.149032+00:00, sha b64c77589335)
- Data as of 2026-08-30T08:39:29.467469+00:00.