Direct Experience World-Model Optimization: Learning the World Beyond Action Imitation
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. Especially in dexterous manipulation, small execution errors can compound in high-dimension...
Xiang-Cheng Zhan, Zi-Rui Chen, Yi-Cheng Zhao et al.
· 0 citations