isaac-sim/IsaacGymEnvs
GPU-accelerated reinforcement learning environments for robotics simulation and control policy training.
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This repository provides vectorized reinforcement learning environments built on NVIDIA Isaac Gym for high-performance physics simulation. It offers preset RL environments (Ant, Cartpole, and others) with a Python API compatible with the Gym library. The benchmark suite enables training neural network policies for robotics and control tasks using GPU-accelerated simulation with torch.
Frequently asked
- What is isaac-sim/IsaacGymEnvs?
- GPU-accelerated reinforcement learning environments for robotics simulation and control policy training.
- Is IsaacGymEnvs open source?
- Yes — isaac-sim/IsaacGymEnvs is an open-source project tracked on heatdrop.
- What language is IsaacGymEnvs written in?
- isaac-sim/IsaacGymEnvs is primarily written in Python.
- How popular is IsaacGymEnvs?
- isaac-sim/IsaacGymEnvs has 2.9k stars on GitHub.
- Where can I find IsaacGymEnvs?
- isaac-sim/IsaacGymEnvs is on GitHub at https://github.com/isaac-sim/IsaacGymEnvs.