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dc.contributor.authorMandow-Andaluz, Lorenzo 
dc.contributor.authorPérez-de-la-Cruz-Molina, José Luis 
dc.contributor.authorPozas García, Nicolás
dc.date.accessioned2022-05-05T06:50:21Z
dc.date.available2022-05-05T06:50:21Z
dc.date.issued2021-11-02
dc.identifier.citationMandow, L., Perez-de-la-Cruz, J.L. & Pozas, N. Multi-objective dynamic programming with limited precision. J Glob Optim 82, 595–614 (2022). https://doi.org/10.1007/s10898-021-01096-xes_ES
dc.identifier.urihttps://hdl.handle.net/10630/24040
dc.description.abstractThis paper addresses the problem of approximating the set of all solutions for Multi-objective Markov Decision Processes. We show that in the vast majority of interesting cases, the number of solutions is exponential or even infinite. In order to overcome this difficulty we propose to approximate the set of all solutions by means of a limited precision approach based on White’s multi-objective value-iteration dynamic programming algorithm. We prove that the number of calculated solutions is tractable and show experimentally that the solutions obtained are a good approximation of the true Pareto front.es_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Málaga / CBUA. Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Funded by the Spanish Government, Agencia Estatal de Investigación (AEI) and European Union, Fondo Europeo de Desarrollo Regional (FEDER), Grant TIN2016-80774-R (AEI/FEDER, UE).es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectProgramación dinámicaes_ES
dc.subject.otherReinforcement learninges_ES
dc.subject.otherMulti-objectivees_ES
dc.subject.otherMarkov decision processeses_ES
dc.subject.otherDynamic programminges_ES
dc.titleMulti-objective dynamic programming with limited precisiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.identifier.doihttps://doi.org/10.1007/s10898-021-01096-x
dc.rights.ccAtribución 4.0 Internacional*


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