Stepwise Credit Assignment for GRPO on Flow-Matching Models explores A novel reinforcement learning approach for flow models that improves sample efficiency and convergence by assigning credit based on step-wise reward improvements.. Commercial viability score: 4/10 in Generative Models.
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