Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport.

arXiv:2609.15883v2 Announce Type: replace-cross Abstract: Offline reinforcement learning aims to learn a policy solely from fixed datasets, which often contain multimodal action distributions. Flow policies can naturally represent such multimodal behaviors, bu