Heuristics for bounded-cost search

Patrik Haslum*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Citations (Scopus)

    Abstract

    The problem of searching for a plan with cost at most equal to a given absolute bound has attracted interest recently, and several search algorithms tailored specifically to this problem have been proposed. We investigate instead how to adapt planning heuristics to this setting. A few of the resulting heuristics, used in a greedy bounded-cost search, perform better than previous and baseline methods, but only by a small margin. Making effective use of the cost bound in bounded-cost planning, it appears, remains a challenge.

    Original languageEnglish
    Title of host publicationICAPS 2013 - Proceedings of the 23rd International Conference on Automated Planning and Scheduling
    Pages312-316
    Number of pages5
    Publication statusPublished - 2013
    Event23rd International Conference on Automated Planning and Scheduling, ICAPS 2013 - Rome, Italy
    Duration: 10 Jun 201314 Jun 2013

    Publication series

    NameICAPS 2013 - Proceedings of the 23rd International Conference on Automated Planning and Scheduling

    Conference

    Conference23rd International Conference on Automated Planning and Scheduling, ICAPS 2013
    Country/TerritoryItaly
    CityRome
    Period10/06/1314/06/13

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