An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
arXiv:2510.23448v2 Announce Type: replace-cross
Abstract: In this work, we study out-of-distribution (OOD) generalization in meta-reinforcement learning from an information-theoretic perspective. We begin by establishing OOD generalization bounds for …