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English(EN) Optimal Planning in a Dynamic World

新规划方法优化动态环境

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种在动态环境中进行规划的新方法，在动态环境中状态和动作的可行性会随时间变化。这种称为“任意开始时间规划”的方法解决了传统规划技术假设已知执行开始时间的局限性。核心创新是一种称为复合到达时间函数（cATF）的数据结构，它能有效地将最优规划编码为开始时间的函数。SIPP问题的实验表明，一旦确定执行开始时间，该方法就能显著优于重新规划策略，使智能体能够快速找到最优规划。 AI

影响 这项研究可以使人工智能智能体在具有不可预测时序的真实场景中更加健壮。

排序理由 该集群包含一篇详细介绍规划问题新算法和数据结构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新规划方法优化动态环境

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该集群包含一篇详细介绍规划问题新算法和数据结构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Devin Wild Thomas (University of New Hampshire, USA), Solomon Eyal Shimony (Ben-Gurion University of the Negev, Israel), Wheeler Ruml (University of New Hampshire, USA), Erez Karpas (Technion - Israel Institute of Technology, Israel), Shahaf S. Shperberg… ·

    Optimal Planning in a Dynamic World

    arXiv:2610.03312v1 Announce Type: new Abstract: Background: We address the problem of planning when the set of feasible states or actions changes over time. For example, in the problem of path planning among moving obstacles (sometimes known as SIPP), the feasibility of being at …

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