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Ming-Qian Li

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Preprint Aug 2026

SIGMA: Structured Noise-Effect-Aware Grouped Multi-Agent Aggregation

This work proposes SIGMA, a hierarchical collaboration framework that exploits cooperation structures to learn robust representations under noisy observations and demonstrates that SIGMA consistently improves robustness under observation noise while maintaining competitive performance in noise-free environments.

Ming-Qian Li · 0 citations