hanjuku-kaso/awesome-offline-rl resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1075 stars · 93 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of research papers, surveys, benchmarks, open-source implementations, blogs, and workshops on offline reinforcement learning and off-policy evaluation. It is maintained by researchers at Cornell University and Hanjuku-kaso and organized into a structured table of contents.

Use cases

• find papers on offline reinforcement learning
• survey off-policy evaluation methods
• find open-source offline RL implementations
• get started researching offline RL
• find benchmarks for off-policy learning
• keep up with offline RL literature

When to choose

• you need a curated reading list for offline RL or off-policy evaluation research
• you want links to implementations, benchmarks, and surveys in one place

When to avoid

• you need runnable offline RL code or a library rather than a paper index
• you need general (online) reinforcement learning resources

Facets

learning-resource · maturity active

reinforcement-learning reinforcement-learning machine-learning awesome-lists awesome-list offline-rl off-policy-evaluation research-papers curated-list

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hanjuku-kaso/awesome-offline-rl")