English(EN) Probabilistic Plan Legibility with Off-the-shelf Planners

新方法增强了人机协作团队的AI计划可读性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员开发了一种为任意PDDL域创建“可读”计划的新方法，将可读性方面的先前工作扩展到经典规划，而无需定制规划器。该方法旨在生成最能从观察者角度阐明其预期目标的计划，这在人机协作场景中对于隐式目标沟通非常有用。基准测试结果表明，计划可读性通常涉及与计划效率的权衡，并且需要一个正则化因子来平衡不同规划域中的这两个方面。 AI

影响增强了AI在协作任务中沟通意图的能力，可能改善人机协作。

排序理由学术论文，详细介绍了AI规划的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Michele Persiani, Thomas Hellstr\"om · 2026-10-02 04:00

使用现成规划器实现概率规划可读性

arXiv:2610.00065v1 Announce Type: cross Abstract: Legible planning is the creation of plans that best disambiguate their goals from a set of other candidates from an observer's perspective. In this paper we propose a method for legible planning for arbitrary PDDL domains, by exte…

本文如何被排名

报道来源 [1]

使用现成规划器实现概率规划可读性

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