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English(EN) Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding

新的基于SMT的编码增强了数值HTN规划能力

研究人员开发了一种新的数值分层任务网络(HTN)规划方法,通过将标准的基于SAT的编码扩展到可满足性模理论(SMT)。这种方法使得在HTN规划中处理数值流(numeric fluents)成为可能,而这在之前的系统中一直受到限制。该团队还引入了一个基准套件,以促进数值TOHTN规划的评估,为该领域的未来研究奠定了竞争性基线。 AI

影响 这项研究通过使AI规划系统能够处理数值约束,有望带来更具表现力和更强大的AI规划系统。

排序理由 该集群包含一篇学术论文,详细介绍了AI规划子领域的一种新技术方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的基于SMT的编码增强了数值HTN规划能力

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该集群包含一篇学术论文,详细介绍了AI规划子领域的一种新技术方法。[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) · Gaspard Quenard, Takudzwa Togarepi, Damien Pellier, Humbert Fiorino ·

    面向基于SMT的HTN-SAT编码的数值TOHTN规划

    arXiv:2609.03938v1 Announce Type: new Abstract: While HTN planning has received significant attention in recent years, support for numerical reasoning remains very limited. In this paper, we investigate numerical Totally-Ordered HTN (TOHTN) planning and show how standard SAT-base…