Calibration-risk routing for controlled world-model adaptation.

arXiv:2610.01001v2 Announce Type: replace Abstract: Model-based reinforcement learning (MBRL) can exploit simulated experience, but a simulator-to-target shift creates a model-selection problem: correcting the simulator and fitting the target directly can each