2 papers
cs.AI2026
Value-Guided Repulsion for Offline Reinforcement Learning
Yixue Hao, Jiahao Zhang, Jiesong Lian +5
Drifting models have emerged as a highly efficient and stable paradigm for policy design in offline reinforcement learning (RL). However, standard drift policies determine repulsio…
cs.CV2026
CoDy: Codec Dynamics as Complementary Priors for Unsupervised Temporal Action Localization
Tianyu Yan, Qingyi Yang, Qin Yang +5
Unsupervised temporal action localization (UTAL) aims to identify action categories and localize their temporal boundaries without annotation supervision. Existing methods typicall…