skrl
by Toni-SM
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
From the README
SKRL - Reinforcement Learning library Documentation: https://skrl.readthedocs.io Description: skrl is an open-source modular library for Reinforcement Learning written in Python (implemented in PyTorch, JAX and NVIDIA Warp) and designed with a focus on modularity, readability, simplicity, and transparency of algorithm implementation. In addition to supporting OpenAI Gym, Farama Gymnasium and PettingZoo, ManiSkill, among other environment interfaces, it allows loading and configuring NVIDIA Isaac Lab and MuJoCo Playground environments, enabling agents' simultaneous…
Excerpt from the project's README on GitHub.
Skills
An open-source project — explore the code and self-host it from GitHub.