Skip to content

kscalelabs/ksim

Repository files navigation

K-Sim

Welcome to ksim, a modular and easy-to-use framework for training policies in simulation.

Policy

Installation

To install the framework:

pip install ksim

Make sure to install JAX correctly for your hardware (CPU or GPU). We recommend using conda rather than uv to avoid compatibility issues with MuJoCo on macOS.

Getting Started

We suggest getting started by following the examples.

Acknowledgements

Many of the design decisions in ksim are heavily influenced other reinforcement learning training libraries like Mujoco Playground, Isaac Lab and Maniskill. In particular, we are very grateful to the Mujoco and MJX maintainers for building a great, cross-platform simulator, and we hope ksim will help contribute to making it the ecosystem standard.

About

RL training library for humanoid locomotion and manipulation. Built on top of MuJoCo and JAX.

Resources

License

Stars

Watchers

Forks