2026
SPREAD: Scalable Pre-Trained World Model for Adaptive Dynamics Model
RA-L 2026
Autonomous robots must be capable of adapting not only to training datasets but also to unfamiliar environments. World models, which learn predictive dynamics of the environment, have been proposed to overcome the task-specific limitations of conventional RL. However, their capability is typically r