Xiewei Ni

CoDrift: Compositional Drifting for Offline Reinforcement Learning

This work proposes CoDrift, a compositional framework for one-step generative policy learning that combines three objective-level fields into a unified policy field that compares favorably with state-of-the-art methods and achieves the best average rank in both settings.