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Situated Temporal Planning Using Deadline-aware Metareasoning

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

    10 Scopus citations

    Abstract

    We address the problem of situated temporal planning, in which an agent’s plan can depend on scheduled exogenous events, and thus it becomes important to take the passage of time into account during the planning process. Previous work on situated temporal planning has proposed simple pruning strategies, as well as complex schemes for a simplified version of the associated metareasoning problem. Although even the simplified version of the metareasoning problem is NP-hard, we provide a pseudo-polynomial time optimal solution to the case with known deadlines. We leverage intuitions emerging from this case to provide a fast greedy scheme that significantly improves upon previous schemes even for the case of unknown deadlines. Finally, we show how this new method can be applied inside a practical situated temporal planner. An empirical evaluation suggests that the new planner provides state-of-the-art results on problems where external deadlines play a significant role.

    Original languageEnglish
    Title of host publication31st International Conference on Automated Planning and Scheduling, ICAPS 2021
    EditorsSusanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo
    PublisherAssociation for the Advancement of Artificial Intelligence
    Pages340-348
    Number of pages9
    ISBN (Electronic)9781713832317
    DOIs
    StatePublished - 1 Jan 2021
    Event31st International Conference on Automated Planning and Scheduling, ICAPS 2021 - Guangzhou, Virtual, China
    Duration: 2 Aug 202113 Aug 2021

    Publication series

    NameProceedings International Conference on Automated Planning and Scheduling, ICAPS
    Volume2021-August
    ISSN (Print)2334-0835
    ISSN (Electronic)2334-0843

    Conference

    Conference31st International Conference on Automated Planning and Scheduling, ICAPS 2021
    Country/TerritoryChina
    CityGuangzhou, Virtual
    Period2/08/2113/08/21

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Science Applications
    • Information Systems and Management

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