Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/178495
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dc.contributor.advisorRovira Escofet, Carles-
dc.contributor.authorReverter Condal, Daniel-
dc.date.accessioned2021-06-17T08:33:54Z-
dc.date.available2021-06-17T08:33:54Z-
dc.date.issued2020-06-21-
dc.identifier.urihttp://hdl.handle.net/2445/178495-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2020, Director: Carles Rovira Escofetca
dc.description.abstract[en] Stochastic games are a generalization of Markov’s decision processes and normal games. We assume that the game has a finite number of states and players. These play stage by stage and the actions they take determine the transition probabilities from one state to another. The number of stages played is not bounded in length. In this work we will study this type of game and all the prerequisites for a person with no experience in the field of game theory to understand each of the results obtained.ca
dc.format.extent44 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isocatca
dc.rightscc-by-nc-nd (c) Daniel Reverter Condal, 2020-
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Matemàtiques-
dc.subject.classificationProcessos de Markovca
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationJocs no cooperatius (Matemàtica)ca
dc.subject.otherMarkov processesen
dc.subject.otherBachelor's theses-
dc.subject.otherNoncooperative games (Mathematics)en
dc.titleJocs estocàsticsca
dc.typeinfo:eu-repo/semantics/bachelorThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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