#MuJoCo

Google DeepMind's dm_control provides essential tools for building physics-based simulations and reinforcement learning tasks using MuJoCo. It features Python bindings, customizable environments, and multi-agent tasks like soccer simulations. The package is installed via PyPI, supporting multiple OpenGL rendering backends, though not in editable mode. Suitable for developers aiming to explore complex control tasks.

MuJoCo is a flexible physics engine designed for accurate and efficient simulations across varied domains including robotics, biomechanics, and machine learning. Managed by Google DeepMind, it features a robust C API and Python bindings, allowing easy integration for researchers and developers. The engine includes an OpenGL-rendered GUI and numerous physics utility functions. Available as prebuilt binaries or source code, MuJoCo's comprehensive documentation and tutorials support users. It also includes multiple language bindings for cross-platform access and integration with tools such as Unity and WebAssembly.