ROBOTNESS
ExpertarXiv

Direct Experience World-Model Optimization: Learning the World Beyond Action Imitation

Xiangcheng Zhan, Zirui Chen, Yicheng Zhao, Ziteng Gao, Shuo Yang
From the abstract

World-Action Models (WAMs) couple action generation with predictions of how physical interactions unfold. However, current post-deployment learning paradigms typically improve behavior without requiring better world predictions.

From the abstract. Our summary is in progress.