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dc.contributor.authorMartínez Martínez, David
dc.contributor.authorRibeiro, Tony
dc.contributor.authorInoue, Katsumi
dc.contributor.authorAlenyà Ribas, Guillem
dc.contributor.authorTorras, Carme
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2016-03-31T11:53:34Z
dc.date.available2016-03-31T11:53:34Z
dc.date.issued2015
dc.identifier.citationMartínez, D., Ribeiro, T., Inoue, K., Alenyà, G., Torras, C. Learning probabilistic action models from interpretation transitions. A: Technical Communications of the International Conference on Logic Programming. "Proceedings of the Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015)". Cork: 2015, p. 1-14.
dc.identifier.urihttp://hdl.handle.net/2117/84962
dc.description.abstractProbabilistic planners are very flexible tools that provide good solutions for difficult tasks. However, they rely on a model of the domain and actions, which they have difficulties to learn for complex tasks. We propose a new learning approach that (a) requires only a set of state transitions to learn the model; (b) can cope with uncertainty in the effects; (c) uses a relational representation to generalize over different objects; and (d) in addition to action effects, it can also learn
dc.format.extent14 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.otherlearning (artificial intelligence)
dc.subject.otherplanning (artificial intelligence)
dc.subject.otheruncertainty handling.
dc.titleLearning probabilistic action models from interpretation transitions
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence)
dc.relation.publisherversionhttp://ceur-ws.org/Vol-1433/tc_30.pdf
dc.rights.accessOpen Access
local.identifier.drac17088053
dc.description.versionPostprint (published version)
local.citation.authorMartínez, D.; Ribeiro, T.; Inoue, K.; Alenyà, G.; Torras, C.
local.citation.contributorTechnical Communications of the International Conference on Logic Programming
local.citation.pubplaceCork
local.citation.publicationNameProceedings of the Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015)
local.citation.startingPage1
local.citation.endingPage14


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