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English(EN) AOC-CBS: Anytime-Optimal Continuous-time Conflict-Based Search for Generalised Multi-Agent Path Finding

新的AOC-CBS算法推进了多智能体寻路能力

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了AOC-CBS，一种用于通用多智能体寻路（MAPF）的新算法，该算法能够处理连续时间和更复杂的智能体行为。该求解器保证最终最优性，同时在其运行期间提供不断改进的现有解决方案。AOC-CBS在具有混合车队和非凸智能体的基准测试中表现出从数十个到数百个智能体的可扩展性，性能优于先前的方法。 AI

影响 增强了复杂多智能体系统的协调能力，可能对机器人和物流产生影响。

排序理由 该集群包含一篇详细介绍特定计算机科学问题新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的AOC-CBS算法推进了多智能体寻路能力

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该集群包含一篇详细介绍特定计算机科学问题新算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Martin Fabian ·

    AOC-CBS：通用多智能体寻路问题的任意时间最优连续时间冲突检测搜索

    Many research fields share a common structure: a set of agents, each pursuing its own goal, whose actions must be coordinated so that no two of them conflict. Multi-Agent Path Finding (MAPF) is a concrete instance of this structure, with applications from warehouses to road traff…

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