embodied

3D-simulated household tasks driven by language instructions and egocentric video - the visual sibling of ALFWorld.

Embodied household-task benchmark that aligns TextWorld text commands with ALFRED 3D scenes, testing whether agents can transfer from abstract text policies to grounded execution.

A set of MuJoCo-based continuous-control RL tasks (cartpole, cheetah, walker, humanoid) - the standard benchmark for continuous-action policy learning.

Aligned text-and-3D embodied environment - agents learn household tasks (pick & place, heat, cool, clean) as both TextWorld games and visually-rendered ALFRED scenes.

OpenEnv port of DeepMind's dm_control - MuJoCo-powered continuous control tasks (cartpole, walker, humanoid, dog, quadruped, manipulation) for embodied RL.