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Optimal Delete-Relaxed (and Semi-Relaxed) Planning with Conditional Effects

Haslum, Patrik

Description

Recently, several methods have been proposed for optimal delete-free planning. We present an incremental compilation approach that enables these methods to be applied to problems with conditional effects, which none of them support natively. With an h+ so

dc.contributor.authorHaslum, Patrik
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-10T23:18:56Z
dc.date.createdAugust 3-9 2013
dc.identifier.isbn9781577356332
dc.identifier.urihttp://hdl.handle.net/1885/65848
dc.description.abstractRecently, several methods have been proposed for optimal delete-free planning. We present an incremental compilation approach that enables these methods to be applied to problems with conditional effects, which none of them support natively. With an h+ so
dc.publisherAAAI Press
dc.relation.ispartofseries23rd International Joint Conference on Artificial Intelligence, IJCAI 2013
dc.rightsAuthor/s retain copyright
dc.sourceIJCAI International Joint Conference on Artificial Intelligence
dc.source.urihttp://ijcai.org/papers13/contents.php
dc.source.urihttps://ijcai.org/papers13/Papers/IJCAI13-338.pdf
dc.titleOptimal Delete-Relaxed (and Semi-Relaxed) Planning with Conditional Effects
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2013
local.identifier.absfor080199 - Artificial Intelligence and Image Processing not elsewhere classified
local.identifier.ariespublicationu4334215xPUB1170
local.type.statusPublished Version
local.contributor.affiliationHaslum, Patrik , College of Engineering and Computer Science, ANU
local.bibliographicCitation.startpage2291
local.bibliographicCitation.lastpage2297
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2015-12-10T10:10:25Z
local.identifier.scopusID2-s2.0-84896061500
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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