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Markov Perfect Equilibrium Existence for a Class of Undiscounted Infinite-Horizon Dynamic Games
dc.contributor.authorGarcia, A.en_US
dc.contributor.authorSmith, Robert L.en_US
dc.date.accessioned2006-09-11T15:46:31Z
dc.date.available2006-09-11T15:46:31Z
dc.date.issued2000-08en_US
dc.identifier.citationGarcia, A.; Smith, R. L.; (2000). "Markov Perfect Equilibrium Existence for a Class of Undiscounted Infinite-Horizon Dynamic Games." Journal of Optimization Theory and Applications 106(2): 421-429. <http://hdl.handle.net/2027.42/45191>en_US
dc.identifier.issn0022-3239en_US
dc.identifier.issn1573-2878en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45191
dc.description.abstractWe prove the existence of Markov perfect equilibria (MPE) for nonstationary undiscounted infinite-horizon dynamic games with alternating moves. A suitable finite-horizon equilibrium relaxation, the ending state constrained MPE, captures the relevant features of an infinite-horizon MPE for a long enough horizon, under a uniformly bounded reachability assumption.en_US
dc.format.extent167040 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherAverage Rewarden_US
dc.subject.otherEngineering, Generalen_US
dc.subject.otherDynamic Gamesen_US
dc.subject.otherApplications of Mathematicsen_US
dc.subject.otherMathematicsen_US
dc.subject.otherTheory of Computationen_US
dc.subject.otherOptimizationen_US
dc.subject.otherCalculus of Variations and Optimal Controlen_US
dc.subject.otherOptimizationen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherInfinite Horizonen_US
dc.subject.otherAlternating Movesen_US
dc.titleMarkov Perfect Equilibrium Existence for a Class of Undiscounted Infinite-Horizon Dynamic Gamesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherThe Brattle Group, Washington, DCen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45191/1/10957_2004_Article_224678.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1004663800322en_US
dc.identifier.sourceJournal of Optimization Theory and Applicationsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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