Ross ROSS = Recommend OSS · open-source software intelligence for agents

aikorea/awesome-rl resource

Reinforcement learning resources curated observed · 2026-08-28

github.com/aikorea/awesome-rl · homepage 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

Full methodology

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  • you need up-to-date resources - the list is no longer maintained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

Member repositories

RepositoryRoleHealth v2
aikorea/awesome-rlmain32

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