arXiv — cs.AI preprintsInternational12 October 2026
Graph World Models for Constrained Epidemic Policy Planning
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arXiv:2609.35545v2 Announce Type: replace-cross Abstract: Epidemic policy planning often requires coordination between geographical regions, taking into account mobility-driven spillovers and how to make use of limited resources. Existing methods either lack action-conditioned models of coupled dynamics or cannot guarantee per-period feasibility. We present EpiMind, a graph world model framework for constrained epidemic policy planning across regions. A graph-factored recurrent state-space model generates joint policy-conditioned rollouts from regional latent beliefs, while graph-temporal ADMM
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