Auction-Based Online Policy Adaptation for Evolving Objectives

ArXi:2604.02151v1 Announce Type: new We consider multi-objective reinforcement learning problems where objectives come from an identical family -- such as the class of reachability objectives -- and may appear or disappear at runtime. Our goal is to design adaptive policies that can efficiently adjust their behaviors as the set of active objectives changes.