Da Wang

FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning

Offline reinforcement learning (RL) aims to learn optimal policies from static datasets while enhancing generalization to out-of-distribution (OOD) data. To mitigate overfitting to suboptimal behaviors in offline datasets, existing methods often relax constraints on policy and data or extract informative patterns throu...