{"library":"mujoco-warp","type":"library","category":null,"description":"MuJoCo Warp (MJWarp) is a differentiable simulation framework built on MuJoCo and Google's Warp library for GPU-accelerated physics. It enables gradient-based optimization, reinforcement learning, and trajectory optimization with full differentiability. Current version 3.9.0.1, requires Python >=3.10. Active development.","language":"python","status":"active","version":"3.9.0.1","tags":["mujoco","warp","differentiable","physics","simulation","gpu"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install mujoco-warp","imports":["from mujoco_warp import Simulator","import mujoco_warp.mjcf as mjcf","from mujoco_warp import WarpMjModel"]}],"homepage":"https://github.com/google-deepmind/mujoco_warp","github":"https://github.com/google-deepmind/mujoco_warp","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}