Beyond Conservatism: Recoverability-Conditioned Exploration for Model-Based Imitation Learning.

arXiv:2609.33336v1 Announce Type: cross Abstract: Model-based imitation learning (MBIL) improves real-environment interaction efficiency by optimizing policies on imagined rollouts from a learned world model. However, the gap between model-induced and real-env