MuJoCo Playground

Zakka, Kevin, Tabanpour, Baruch, Liao, Qiayuan, Haiderbhai, Mustafa, Holt, Samuel, Luo, Jing Yuan, Allshire, Arthur, Frey, Erik, Sreenath, Koushil, Kahrs, Lueder A., Sferrazza, Carmelo, Tassa, Yuval, Abbeel, Pieter

arXiv.org Artificial Intelligence 

We introduce MuJoCo Playground, a fully open-source framework for robot learning built with MJX, with the express goal of streamlining simulation, training, and sim-to-real transfer onto robots. With a simple "pip install playground", researchers can train policies in minutes on a single GPU. Playground supports diverse robotic platforms, including quadrupeds, humanoids, dexterous hands, and robotic arms, enabling zero-shot sim-to-real transfer from both state and pixel inputs. This is achieved through an integrated stack comprising a physics engine, batch renderer, and training environments. Along with video results, the entire framework is freely available at playground.mujoco.org

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