Value-Rectified Distillation for Flow-based Offline Reinforcement Learning.

arXiv:2610.29075v2 Announce Type: replace-cross Abstract: We aim to address the problem of Out-of-Distribution (OOD) Mode Averaging, a critical problem that emerges when distilling Flow Matching (FM) based behavior policies in offline Reinforcement Learning (R