Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors
arXiv:2606.25527v1 Announce Type: new Abstract: Online reinforcement learning (RL) agents increasingly depend on knowledge acquired offline to achieve practical efficiency. Originally studied in offli