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dc.contributor.authorSaldı, Naci
dc.contributor.authorLinder, T.
dc.contributor.authorYüksel, S.
dc.date.accessioned2019-01-16T08:51:27Z
dc.date.available2019-01-16T08:51:27Z
dc.date.issued2018
dc.identifier.isbn2324-9749en_US
dc.identifier.isbn978-3-319-79032-9
dc.identifier.urihttp://hdl.handle.net/10679/6107
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-319-79033-6_1
dc.description.abstractControl and optimization of dynamical systems in the presence of stochastic uncertainty is a mature field with a large range of applications. A comprehensive treatment of such problems can be found in excellent books and other resources including [7, 16, 29, 68, 84, 95, 104], and [6]. To date, there exist a nearly complete theory regarding the existence and structure of optimal solutions under various formulations as well as computational methods to obtain such optimal solutions for problems with finite state and control spaces. However, there still exist substantial computational challenges involving problems with large state and action spaces, such as standard Borel spaces. For such state and action spaces, obtaining optimal policies is in general computationally infeasible.en_US
dc.language.isoengen_US
dc.publisherBirkhäuser Baselen_US
dc.relation.ispartofFinite Approximations in Discrete-Time Stochastic Control, Part of the Systems & Control: Foundations & Applications book series (SCFA)
dc.rightsrestrictedAccess
dc.titleFinite approximations in discrete-time stochastic control quantized models and asymptotic optimality introduction and summaryen_US
dc.typeBook chapteren_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-2677-7366 & YÖK ID 283091) Saldı, Naci
dc.contributor.ozuauthorSaldı, Naci
dc.identifier.startpage1en_US
dc.identifier.endpage11en_US
dc.identifier.wosWOS:000444697500001
dc.identifier.doi10.1007/978-3-319-79033-6_1en_US
dc.identifier.scopusSCOPUS:2-s2.0-85046996985
dc.contributor.authorMale1
dc.relation.publicationcategoryBook Chapter - International - Institutional Academic Staff


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