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

Shenghua Lu, Zixuan Yang, Rongxu Zhao +3

Offline reinforcement learning aims to learn effective policies from fixed datasets without environment interaction. Although generative models such as diffusion and flow matching…