google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
This tool provides a powerful set of capabilities for designing and running physics-based simulations, especially for developing and testing AI agents. It takes in descriptions of physical models and environments, and outputs simulated interactions and observations. Researchers and engineers working on robotics, control systems, and artificial intelligence will find this useful for creating realistic virtual testbeds.
4,494 stars. Used by 2 other packages. Actively maintained with 3 commits in the last 30 days. Available on PyPI.
Use this if you need to build complex, physically accurate simulated environments to train and evaluate reinforcement learning agents.
Not ideal if you are looking for a simple, drag-and-drop simulation tool or do not have programming experience.
Stars
4,494
Forks
742
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
3
Dependencies
15
Reverse dependents
2
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