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Hi-FLoop: Hierarchical State-Feedback Loops for Multi-Timescale World Modeling
Multi-agent traffic simulation seeks diverse, coordinated, and physically realistic futures from maps and observed history. Long-horizon closed-loop generation must reconcile multiple decision time scales while its context evolves with generated states. Existing methods often unfold long futures fro
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