# isaac-sim/IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

Repository: https://github.com/isaac-sim/IsaacGymEnvs
Canonical: https://ross.abutalabs.com/products/isaacgymenvs
Language: Python
License: NOASSERTION
License Family: other
Archived: true
Last push: 2024-10-26T15:43:53+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1833, "days_push": 676, "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 2952, forks 513 (observed 2026-08-28T04:07:32.066834+00:00)

## What it is
A collection of example reinforcement learning environments for NVIDIA Isaac Gym, a GPU-accelerated physics simulator. It provides a Gym-style API for creating thousands of vectorized parallel environments and benchmark tasks like Cartpole and Ant locomotion.

## Use cases
- train RL policies on GPU-accelerated physics simulation
- benchmark reinforcement learning algorithms on standard tasks
- run thousands of parallel physics environments for RL training
- learn robot locomotion like Ant walking
- prototype RL environments with a Gym-compatible API

## When to choose
- you need massively parallel RL environment simulation on NVIDIA GPUs
- you want ready-made benchmark tasks from the Isaac Gym NeurIPS paper
- you already have Isaac Gym Preview 4 installed and want example environments

## When to avoid
- you don't have an NVIDIA GPU or Isaac Gym Preview 4 access
- you need the newer Isaac Lab / Isaac Sim ecosystem instead
- you need CPU-only or non-NVIDIA simulation

## Facets
- artifact type: library
- maturity: maintenance
- function: reinforcement-learning, simulation, benchmarking, machine-learning
- domain: reinforcement-learning, robotics, simulation, machine-learning, gpu-computing
- platform: python
- tags: isaac-gym, nvidia, physics-simulation, gym-environments, rl-training, robot-locomotion, vectorized-environments, linux, gpu, docker

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:32.066834+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 2026-08-30T07:32:38.793572+00:00, confidence not recorded.
  - readme: https://github.com/isaac-sim/IsaacGymEnvs (fetched 2026-08-28T04:07:32.066834+00:00, sha 476a626da5a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.