isaac-sim/OmniIsaacGymEnvs
Reinforcement learning environments for training robotic agents in NVIDIA Isaac Sim using PPO.
Not currently ranked — collecting fresh signals.
star history
This repository provides reinforcement learning training environments for NVIDIA’s Isaac Sim robotics simulator. It uses PPO (Proximal Policy Optimization) from the rl_games library and is built on Isaac Sim’s omni.isaac.core and omni.isaac.gym frameworks. The environments support training various robotic tasks in a physics-accurate simulation environment.
Frequently asked
- What is isaac-sim/OmniIsaacGymEnvs?
- Reinforcement learning environments for training robotic agents in NVIDIA Isaac Sim using PPO.
- Is OmniIsaacGymEnvs open source?
- Yes — isaac-sim/OmniIsaacGymEnvs is an open-source project tracked on heatdrop.
- What language is OmniIsaacGymEnvs written in?
- isaac-sim/OmniIsaacGymEnvs is primarily written in Python.
- How popular is OmniIsaacGymEnvs?
- isaac-sim/OmniIsaacGymEnvs has 1k stars on GitHub.
- Where can I find OmniIsaacGymEnvs?
- isaac-sim/OmniIsaacGymEnvs is on GitHub at https://github.com/isaac-sim/OmniIsaacGymEnvs.