Population-conditioned learned primal and dual maps support reliable coordination of large multi-agent systems under composition shifts without per-cycle retraining, cutting forecast error 16-19% and violations 20-51% in supply-chain tests.
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Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
Population-conditioned learned primal and dual maps support reliable coordination of large multi-agent systems under composition shifts without per-cycle retraining, cutting forecast error 16-19% and violations 20-51% in supply-chain tests.