orbit
Unified framework for robot learning built on NVIDIA Isaac Sim (by NVIDIA-Omniverse)
OmniIsaacGymEnvs
Reinforcement Learning Environments for Omniverse Isaac Gym (by NVIDIA-Omniverse)
orbit | OmniIsaacGymEnvs | |
---|---|---|
3 | 4 | |
822 | 698 | |
19.5% | 10.2% | |
9.5 | 7.9 | |
5 days ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
orbit
Posts with mentions or reviews of orbit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-25.
- NVIDIA Orbit - Unified framework for robot learning
- Nvidia-Omniverse/Orbit: Unified framework for robot learning
-
What is the limit on parallel 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).
OmniIsaacGymEnvs
Posts with mentions or reviews of OmniIsaacGymEnvs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-25.
-
What is the limit on parallel 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).
- Isaac Gym / Sim2Real Transfer
-
[Material advice] Learn reinforcement leanring
OmniIsaacGymEnvs
- GitHub - NVIDIA-Omniverse/OmniIsaacGymEnvs: Reinforcement Learning Environments for Omniverse Isaac Gym
What are some alternatives?
When comparing orbit and OmniIsaacGymEnvs you can also consider the following projects:
IsaacGymEnvs - Isaac Gym Reinforcement Learning Environments
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
skrl - Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
OmniIsaacGymEnvs-DofbotReacher - Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
PythonRobotics - Python sample codes for robotics algorithms.
OmniIsaacGymEnvs-UR10Reacher - UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim