AI RESEARCH
Offline RL for Adaptive Policy Retrieval in Prior Authorization
arXiv CS.AI
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ArXi:2604.05125v1 Announce Type: cross Prior authorization (PA) requires interpretation of complex and fragmented coverage policies, yet existing retrieval-augmented systems rely on static top-$K$ strategies with fixed numbers of retrieved sections. Such fixed retrieval can be inefficient and gather irrelevant or insufficient information. We model policy retrieval for PA as a sequential decision-making problem, formulating adaptive retrieval as a Marko Decision Process