Source-Lifted Flow Matching for Intervenable Multimodal Imitation.

arXiv:2607.10206v2 Announce Type: replace-cross Abstract: Flow-matching policies are promising for imitation learning because they model complex multimodal action distributions. However, their stochasticity is largely passive: repeated sampling may yield diver