AI RESEARCH

Safety-Critical Contextual Control via Online Riemannian Optimization with World Models

arXiv CS.AI

ArXi:2604.19639v1 Announce Type: cross Modern world models are becoming too complex to admit explicit dynamical descriptions. We study safety-critical contextual control, where a Planner must optimize a task objective using only feasibility samples from a black-box Simulator, conditioned on a context signal $\xi_t