Dm Control

When it fits

Use Dm Control when a Python workflow needs MuJoCo physics, ready-made RL environments, interactive viewing, or components for defining custom control tasks.

Who it is for

• Researchers training or evaluating reinforcement-learning agents in physics-based environments.
• Robotics developers prototyping and inspecting control policies in simulation.
• Educators creating tutorials or experiments around MuJoCo and reinforcement learning.

Documented uses

• Use MuJoCo-backed reinforcement-learning environments for control experiments.
• Compose or modify MJCF models in Python.
• Build richer environments from reusable components.
• View a simulation interactively or render it through a configured OpenGL backend.
• Create additional locomotion tasks, including multi-agent soccer tasks.