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Jie Ni

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Preprint Aug 2026

Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization

Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization (SA-MRPO), which standardizes each reward objective independently and adaptively discounts its contribution according to a batch-level estimate of objective saturation, and dynamically reallocates optimization effort toward under-optimized objectives while empirically maintaining performance on those that are already well satisfied.

Yi-Xuan Wang, Yifei Chen, Haichao Zhang et al. · 0 citations

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