经典规划中条件效应的多项式编译优化变体

Francesco Percassi, Enrico Scala, Alfonso Gerevini
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引用次数: 0

摘要

条件效应是经典规划的一个关键特征,它可以描述结果与状态相关的行动。众所周知,条件效应的多项式去除必然会使有效计划的规模增加一个多项式系数,而要完全保留计划规模,则需要对问题进行指数编码。这些优化旨在使编译结果更适合规划者,同时限制计划规模的增加,如果我们想保持多项式编译,计划规模的增加是不可避免的。具体来说,本文介绍了一种多项式编译技术,当条件效应的数量低于一定阈值时,它将扩展条件效应,反之则对其进行排序。此外,本文还证明了即使是简单的优化也能产生显著的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimised Variants of Polynomial Compilation for Conditional Effects in Classical Planning
Conditional effects are a key feature in classical planning, enabling the description of actions whose outcomes are state-dependent. It is well known that the polynomial removal of conditional effects necessarily increases the size of a valid plan by a polynomial factor while preserving exactly the plan size requires an exponential encoding of the problem. The paper proposes and empirically evaluates optimisations for existing polynomial compilations. These optimisations aim to make the resulting compilations more suitable for planners while limiting the increase in plan size, which is inevitable if we want to keep the compilation polynomial. Specifically, the paper introduces a polynomial compilation technique that expands conditional effects when their number is below a certain threshold and sequentialises them otherwise. Additionally, the paper demonstrates that even straightforward optimisations can have a notable impact.
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