# clvrai/awesome-rl-envs

Repository: https://github.com/clvrai/awesome-rl-envs
Canonical: https://ross.abutalabs.com/products/awesome-rl-envs
License Family: other
Last push: 2024-05-27T23:01:07+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": 2472, "days_push": 828, "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 1357, forks 95 (observed 2026-08-28T04:04:29.421574+00:00)

## What it is
A curated, categorized list of reinforcement learning environments covering robotics, games, navigation, multi-agent, safety, autonomous driving, and physics simulators. It serves as a reference catalog linking to dozens of RL environment projects with descriptions.

## Use cases
- find reinforcement learning environments for robotics research
- discover RL benchmark environments for games
- compare physics simulators for training RL agents
- find multi-agent reinforcement learning environments
- locate navigation and autonomous driving RL environments
- find safe RL environments for safety research

## When to choose
- you need to survey available RL environments before picking one for research
- you want a categorized starting point for RL simulation tooling
- you are teaching or learning reinforcement learning and need environment options

## When to avoid
- you need an actual runnable environment or library rather than a list of links
- you need actively maintained software with support
- you need a single integrated benchmark suite rather than a catalog

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: simulation, machine-learning, reinforcement-learning
- domain: reinforcement-learning, robotics, tutorials, awesome-lists
- platform: cross-platform, python
- tags: awesome-list, reinforcement-learning-environments, curated-list, simulators, benchmarking-environments, game-development

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.421574+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 2026-08-30T04:41:49.433927+00:00, confidence not recorded.
  - readme: https://github.com/clvrai/awesome-rl-envs (fetched 2026-08-28T04:04:29.421574+00:00, sha b956c21f4422)
- Data as of 2026-08-30T08:39:29.467469+00:00.