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Fast planning with iterative macros

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dc.contributor.authorBotea, Adi
dc.contributor.authorMueller, Martin
dc.contributor.authorSchaeffer, Jonathan
dc.coverage.spatialHyderabad India
dc.date.accessioned2015-12-08T22:09:34Z
dc.date.createdJanuary 6-12 2007
dc.date.issued2007
dc.date.updated2015-12-08T07:26:09Z
dc.description.abstractResearch on macro-operators has a long history in planning and other search applications. There has been a revival of interest in this topic, leading to systems that successfully combine macrooperators with current state-of-the-art planning approaches bas
dc.identifier.urihttp://hdl.handle.net/1885/29093
dc.publisherCarnegie Mellon University
dc.relation.ispartofseriesInternational Joint Conference on Artificial Intelligence (IJCAI 2007)
dc.sourceProceedings of the International Joint Conference on Artificial Intelligence
dc.source.urihttp://www.ijcai.org/proceedings07.php
dc.subjectKeywords: Heuristic search; Macro-operators; Search Algorithms; Search application; Artificial intelligence; Heuristic algorithms; Iterative methods; Macros
dc.titleFast planning with iterative macros
dc.typeConference paper
local.bibliographicCitation.lastpage1833
local.bibliographicCitation.startpage1828
local.contributor.affiliationBotea, Adi , College of Engineering and Computer Science, ANU
local.contributor.affiliationMueller, Martin, University of Alberta
local.contributor.affiliationSchaeffer, Jonathan , University of Alberta
local.contributor.authoruidBotea, Adi , u1814829
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu8803936xPUB62
local.identifier.scopusID2-s2.0-38149097153
local.type.statusPublished Version

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