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Scaling up: Solving POMDPs through value based clustering

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

    4 Scopus citations

    Abstract

    We present here a point-based value iteration algorithm for solving POMDPs, that orders belief state backups smartly based on a clustering of the underlying MDP states. We show our SCVI algorithm to converge faster than state of the art point-based algorithms.

    Original languageEnglish
    Title of host publicationAAAI-07/IAAI-07 Proceedings
    Subtitle of host publication22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
    Pages1910-1911
    Number of pages2
    StatePublished - 28 Nov 2007
    EventAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC, Canada
    Duration: 22 Jul 200726 Jul 2007

    Publication series

    NameProceedings of the National Conference on Artificial Intelligence
    Volume2

    Conference

    ConferenceAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
    Country/TerritoryCanada
    CityVancouver, BC
    Period22/07/0726/07/07

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence

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