CLARU
nicklashansen2026MIT

Dreamer 4 Dataset for Continuous Control

A collection of 7,200 mixed-quality trajectories (3.6M frames) spanning 30 continuous control tasks from DMControl and MMBench, collected using expert TD-MPC2 agents for world model research.

Downloads450
Episodes7200
Likes1

Why This Matters for Physical AI

This dataset enables training and evaluation of world models for continuous control tasks, providing a foundation for developing agents that can learn dynamics and plan actions in visual environments.

Technical Profile

Modalities
rgb
Action Space
continuous control
Environment
simulation
Task Types
continuous control
Episodes
7200
License
MIT
Part of the Dreamer 4 family

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