Value-Guided Repulsion for Offline Reinforcement Learning.

arXiv:2610.20190v1 Announce Type: new Abstract: Drifting models have emerged as a highly efficient and stable paradigm for policy design in offline reinforcement learning (RL). However, standard drift policies determine repulsion solely from geometric relation