arXiv 2609.32019 · cs.AI · 2026-09-25
Decentralized Master-Mind: Joint Action Refinement through Iterative Intent Denoising in Multi-Agent Pathfinding
Valeriy Vyaltsev, Anton Andreychuk, Taisia Zlotnikova, Konstantin Yakovlev, Aleksandr Panov, Alexey Skrynnik
机构待核实
在最新榜 #233 本站收录于 2026-10-21
一句话要点
DMM 用迭代去噪联合细化多智能体路径规划中的动作，避免各自采样拼出相互冲突的方案。
DMM refines joint actions in decentralised multi-agent pathfinding by iterative intent denoising, avoiding incompatible combinations.
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
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