aikorea/awesome-rl resource
Reinforcement learning resources curated observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4041
- days_rel: n/a
- days_push: 1196
- n_releases_24m: 0
Adoption not part of the score
9920 stars · 1945 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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- you need up-to-date resources - the list is no longer maintained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
learning-resource · maturity abandoned
documentation reinforcement-learning machine-learning tutorials awesome-lists cross-platform awesome-list curated-resources reinforcement-learning
2 sources
- readme: https://github.com/aikorea/awesome-rl · fetched 2026-08-28 · 331378be7de1
- homepage: http://aikorea.org/awesome-rl · fetched 2026-08-29 · b64c77589335
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| aikorea/awesome-rl | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="aikorea/awesome-rl")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem