#DeepReinforcementLearning #PhysicsSimulator #ReinforcementLearning
In case you missed the announcement from DeepMind on 18 October 2021: Opening up a physics simulator for robotics | DeepMind 1

The rich-yet-efficient contact model of the MuJoCo physics simulator 4 has made it a leading choice by robotics researchers and today, we’re proud to announce that, as part of DeepMind’s mission of advancing science, we’ve acquired MuJoCo and are making it freely available 1 for everyone, to support research everywhere. Already widely used within the robotics community, including as the physics simulator of choice for DeepMind’s robotics team, MuJoCo features a rich contact model, powerful scene description language, and a well-designed API. Together with the community, we will continue to improve MuJoCo as open-source software under a permissive licence. As we work to prepare the codebase, we are making MuJoCo freely available 1 as a precompiled library.

            


MuJoCo in DeepMind. Our robotics team has been using MuJoCo as a simulation platform for various projects, mostly via our dm_control 4 Python stack. In the carousel below, we highlight a few examples to showcase what can be simulated in MuJoCo. Of course, these clips represent only a tiny fraction of the vast possibilities for how researchers might use the simulator. For higher quality versions of these clips, please click here 1.

Website: https://mujoco.org/ 4
Docs: Overview — MuJoCo documentation 1
GitHub: GitHub - deepmind/mujoco: Multi-Joint dynamics with Contact. A general purpose physics simulator.
Related - dm_control (for physics-based simulation): GitHub - deepmind/dm_control: DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. 4
            


Related deep reinforcement learning research: Emergence of Locomotion Behaviours in Rich Environments 1 (DeepMind):

… Benchmark tasks: We consider three continuous control tasks for benchmarking the algorithms. All environments rely on the Mujoco physics engine…

Demo of Emergence of Locomotion Behaviours in Rich Environments:
Emergence of Locomotion Behaviours in Rich Environments