$\lambda$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource
The method, $\lambda$-Controlled GRPO, calibrates importance-ratio behavior from this predicted law rather than from noisy empirical statistics, and allocates gradient effort across denoising steps according to their predicted cost, and keeps late-step path variance within its intended budget.
Yu-Feng Wang, Parivesh Priye, Meeshawn Marathe et al.
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