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Multi Agent Mujoco Env

Multi Agent Mujoco is an environment for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

The environment is described in the paper Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control by Christian Schroeder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Böhmer and Shimon Whiteson, Torr Vision Group and Whiteson Research Lab, University of Oxford, 2020

You can find more details in Multi-Agent Mujoco Environment