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#artificial intelligence Preprint Sep 2026

Diffusion Policy Improvement with Proposal-Conditioned Refinement Flows

This work forms a KL-regularized objective whose optimum induces a Gibbs policy over final actions under a Gaussian-smoothed behavior prior, and introduces Proposal-Conditioned Refinement Flows (PReFlow), a policy extraction method combining critic-based proposal selection with a conditional refinement flow.

Junhyun Ha, Ju-Ho Lee, Byoungwoo Park · 0 citations

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