# isaac-sim/OmniIsaacGymEnvs

Reinforcement Learning Environments for Omniverse Isaac Gym

Repository: https://github.com/isaac-sim/OmniIsaacGymEnvs
Canonical: https://ross.abutalabs.com/products/omniisaacgymenvs
Language: Python
License: NOASSERTION
License Family: other
Archived: true
Last push: 2024-06-06T20:11:32+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1554, "days_push": 818, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1048, forks 236 (observed 2026-08-28T04:03:22.270414+00:00)

## What it is
A collection of GPU-accelerated reinforcement learning environments built on NVIDIA Isaac Sim and the omni.isaac.gym framework, with PPO training examples via rl_games. It is now in maintenance mode, with development merged into IsaacLab.

## Use cases
- train RL policies for robotics in simulation
- run GPU-parallel reinforcement learning environments
- learn robot locomotion and manipulation with PPO
- simulate physics-based RL tasks in Isaac Sim
- benchmark RL algorithms on robotics tasks

## When to choose
- you need RL environments running on Isaac Sim's physics and rendering stack
- you want ready-made PPO examples for robotics tasks
- you are maintaining existing projects built on OmniIsaacGymEnvs

## When to avoid
- you are starting a new project - use IsaacLab instead, which absorbed this repo
- you do not have a GPU with at least 12GB VRAM and Isaac Sim installed
- you need non-robotics or lightweight RL environments

## Facets
- artifact type: library
- maturity: maintenance
- function: reinforcement-learning, simulation, machine-learning
- domain: reinforcement-learning, robotics, simulation, machine-learning
- platform: python, windows
- tags: isaac-sim, omniverse, rl-games, ppo, gpu-simulation, robot-learning, deprecated-in-favor-of-isaac-lab, gpu, linux

## Member repositories
- isaac-sim/OmniIsaacGymEnvs (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.270414+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 2026-08-30T07:00:44.524386+00:00, confidence not recorded.
  - readme: https://github.com/isaac-sim/OmniIsaacGymEnvs (fetched 2026-08-28T04:03:22.270414+00:00, sha 5c71c16de381)
- Data as of 2026-08-30T08:39:29.467469+00:00.