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cs.LG2025
Iterative Refinement of Flow Policies in Probability Space for Online Reinforcement Learning
Mingyang Sun, Pengxiang Ding, Weinan Zhang +1
While behavior cloning with flow/diffusion policies excels at learning complex skills from demonstrations, it remains vulnerable to distributional shift, and standard RL methods st…
cs.LG2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun, Pengxiang Ding, Weinan Zhang +1
Diffusion policies have shown promise in learning complex behaviors from demonstrations, particularly for tasks requiring precise control and long-term planning. However, they face…