What is the limit on parallel environments?

• skrl

  7 404 9.3 Python

  Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

In this case, I encourage you to try the skrl RL library that fully supports all of them, among others.

• IsaacGymEnvs

  8 1,616 3.9 Python

  Isaac Gym Reinforcement Learning Environments

  

Although Gym/Gymnasium allows you to generate vectorized parallel environments, if you want to train in hundreds or thousands of environments you will need to use the NVIDIA simulator repertoire (Isaac Gym, Isaac Orbit or Omniverse Isaac Gym).

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• orbit

  3 791 9.5 Python

  Unified framework for robot learning built on NVIDIA Isaac Sim (by NVIDIA-Omniverse)

  

Although Gym/Gymnasium allows you to generate vectorized parallel environments, if you want to train in hundreds or thousands of environments you will need to use the NVIDIA simulator repertoire (Isaac Gym, Isaac Orbit or Omniverse Isaac Gym).

• OmniIsaacGymEnvs

  4 687 7.9 Python

  Reinforcement Learning Environments for Omniverse Isaac Gym

  

Although Gym/Gymnasium allows you to generate vectorized parallel environments, if you want to train in hundreds or thousands of environments you will need to use the NVIDIA simulator repertoire (Isaac Gym, Isaac Orbit or Omniverse Isaac Gym).

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