English(EN) Reachability-Certified Subteam Decomposition for Locally Interacting Multi-Agent MDPs

新的RCSD方法优化通信受限下的多智能体协调

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-08 07:35

研究人员开发了一种名为可达性认证子团队分解（RCSD）的新方法，用于在通信受限下运行的多智能体系统。该技术旨在通过同时考虑邻近性和未来交互的可能性来优化协调，解决了当前仅依赖物理距离的方法的局限性。RCSD结合了速度限制计算和奖励包络，创建了一个状态亲和度度量，有助于形成最小化奖励删除错误的划分。在五智能体系统上的实验表明，与更简单的划分策略相比，RCSD-Exact将归一化执行遗憾降低了高达56.0%。 AI

影响为通信受限的去中心化AI系统中的决策优化引入了一种新颖的方法。

排序理由详细介绍多智能体系统新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Hongyuan Tang · 2026-09-08 07:35

面向局部交互多智能体MDP的可达性认证子团队分解

Persistent communication limits force a multi-agent system to decide which agents may coordinate throughout a rollout. Current proximity alone is insufficient: separated agents may interact later, whereas a large pair reward may remain unreachable until it is heavily discounted. …

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面向局部交互多智能体MDP的可达性认证子团队分解

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