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Learning probabilistic action models from interpretation transitions
dc.contributor.author | Martínez Martínez, David |
dc.contributor.author | Ribeiro, Tony |
dc.contributor.author | Inoue, Katsumi |
dc.contributor.author | Alenyà Ribas, Guillem |
dc.contributor.author | Torras, Carme |
dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
dc.date.accessioned | 2016-03-31T11:53:34Z |
dc.date.available | 2016-03-31T11:53:34Z |
dc.date.issued | 2015 |
dc.identifier.citation | Martínez, 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.uri | http://hdl.handle.net/2117/84962 |
dc.description.abstract | Probabilistic 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.extent | 14 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.other | learning (artificial intelligence) |
dc.subject.other | planning (artificial intelligence) |
dc.subject.other | uncertainty handling. |
dc.title | Learning probabilistic action models from interpretation transitions |
dc.type | Conference report |
dc.contributor.group | Universitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.inspec | Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence) |
dc.relation.publisherversion | http://ceur-ws.org/Vol-1433/tc_30.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 17088053 |
dc.description.version | Postprint (published version) |
local.citation.author | Martínez, D.; Ribeiro, T.; Inoue, K.; Alenyà, G.; Torras, C. |
local.citation.contributor | Technical Communications of the International Conference on Logic Programming |
local.citation.pubplace | Cork |
local.citation.publicationName | Proceedings of the Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015) |
local.citation.startingPage | 1 |
local.citation.endingPage | 14 |