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Uav path planning for target coverage task in dynamic environment

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ARMATA: Auto-Regressive Multi-Agent Task Assignment

cs.MA · 2026-05-05 · unverdicted · novelty 5.0

ARMATA is a new end-to-end autoregressive model with multi-stage decoding that unifies allocation and routing for multi-agent systems and reports up to 20% better solutions than OR-Tools, CPLEX, and LKH-3 in seconds instead of hours.

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  • ARMATA: Auto-Regressive Multi-Agent Task Assignment cs.MA · 2026-05-05 · unverdicted · none · ref 2

    ARMATA is a new end-to-end autoregressive model with multi-stage decoding that unifies allocation and routing for multi-agent systems and reports up to 20% better solutions than OR-Tools, CPLEX, and LKH-3 in seconds instead of hours.