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Semi-Relaxed Plan Heuristics

机译:半松弛计划启发式

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摘要

The currently dominant approach to domain-independent planning is planning as heuristic search, with most successful planning heuristics being based on solutions to delete-relaxed versions of planning problems, in which the negative effects of actions are ignored. We introduce a principled, flexible, and practical technique for augmenting delete-relaxed tasks with a limited amount of delete information, by introducing special fluents that explicitly represent conjunctions of fluents in the original planning task. Differently from previous work, conditional effects are used to limit the growth of the task to be linear in the number of such conjunctions, making its use for obtaining heuristic functions feasible. The resulting heuristics are empirically evaluated, and shown to be sometimes much more informative than standard delete-relaxation heuristics.
机译:当前与领域无关的计划的主要方法是作为启发式搜索进行计划,最成功的计划启发式方法基于删除计划问题的松弛版本的解决方案,其中忽略了操作的负面影响。我们引入了一种原理性,灵活而实用的技术,通过引入明确表示原始计划任务中流利的合而来的特殊流利,来用有限的删除信息来增强具有删除功能的任务。与以前的工作不同,使用条件效应将任务的增长限制为此类连词的数量呈线性,从而使其可用于获取启发式函数。凭经验评估了所得的启发式方法,并显示出有时比标准的删除-放松启发式方法提供的信息要多得多。

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