From Suboptimal to Optimal: One-Step Latent Flow Policies for Offline Reinforcement Learning.

arXiv:2610.16984v1 Announce Type: cross Abstract: Offline reinforcement learning aims to learn effective policies from fixed datasets without environment interaction. Although generative models such as diffusion and flow matching enhance policy expressiveness,