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arxiv_cs_lg · Nov 5, 2026 · paper

Source brief

FewStepRL: Fine-tuning Few-step Diffusion Models with Reinforcement Learning

arxiv.orgNov 5, 2026
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In brief

Reinforcement learning (RL) has become a standard post-training method for diffusion models, but most RL objectives roll out the current policy at every iteration, and with a many-step sampler these rollouts typically dominate the cost of training. Few-step models cut this cost,

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FewStepRL: Fine-tuning Few-step Diffusion Models with Reinforcement Learning

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