skrl
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Build and experiment with reinforcement learning models using a flexible library that supports various environments.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeModular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
skrl has 1.1k stars on GitHub. It has been forked 150 times. skrl is written mainly in Python. It has been in active development since 2021. skrl is available under the MIT license. Its main topics are brax, deep-learning, flax, gym.
What is skrl?
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Is skrl open source?
skrl is an open-source project. It is released under the MIT license.
Is skrl free?
Yes. skrl is free and open source — you can use, modify and self-host it.
What license does skrl use?
skrl is available under the MIT license.
What language is skrl written in?
skrl is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/toni-sm-skrl.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.