DeepMind Control
A reinforcement learning environment benchmark suite released by DeepMind that provides a variety of continuous control tasks, commonly used to evaluate model-based reinforcement learning algorithms.
Timeline (last 90 days)
Simulusion's environment adaptation layer uniformly supports DeepMind Control, Atari, Gymnasium, MuJoCo and Brax through a single make_env entry point.
On DeepMind Control and Humanoid tasks, the fixed-point score matching method combined with the relevant exploration achieved the best performance among all compared methods.
All Facts (2)
Simulusion's environment adaptation layer uniformly supports DeepMind Control, Atari, Gymnasium, MuJoCo and Brax through a single make_env entry point.
50%UnverifiedOn DeepMind Control and Humanoid tasks, the fixed-point score matching method combined with the relevant exploration achieved the best performance among all compared methods.
50%