Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming

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dc.contributor.authorKinathil, Shamin
dc.contributor.authorSanner, Scott
dc.contributor.authorDella Penna, Nicolas
dc.coverage.spatialQuebec City Canada
dc.date.accessioned2015-12-10T23:23:57Z
dc.date.createdJuly 23-27 2014
dc.date.issued2014
dc.date.updated2015-12-10T10:42:53Z
dc.identifier.isbn9780974903910
dc.identifier.urihttp://hdl.handle.net/1885/67030
dc.publisherAUAI Press
dc.relation.ispartofseriesUncertainty in Artificial Intelligence 2014 Conference
dc.sourceSequential Bayesian Optimisation for Spatial-Temporal Monitoring
dc.source.urihttp://auai.org/uai2014/index.shtml
dc.titleClosed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming
dc.typeConference paper
local.bibliographicCitation.lastpage399
local.bibliographicCitation.startpage390
local.contributor.affiliationKinathil, Shamin, College of Engineering and Computer Science, ANU
local.contributor.affiliationSanner, Scott, College of Engineering and Computer Science, ANU
local.contributor.affiliationDella Penna, Nicolas, College of Engineering and Computer Science, ANU
local.contributor.authoremailu5312879@anu.edu.au
local.contributor.authoruidKinathil, Shamin, u5312879
local.contributor.authoruidSanner, Scott, u1817461
local.contributor.authoruidDella Penna, Nicolas, u4941783
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080110 - Simulation and Modelling
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1385
local.identifier.uidSubmittedByu4334215
local.type.statusPublished Version

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