Prelude to part II
dc.contributor.author | Saldı, Naci | |
dc.contributor.author | Linder, T. | |
dc.contributor.author | Yüksel, S. | |
dc.date.accessioned | 2019-01-16T10:58:34Z | |
dc.date.available | 2019-01-16T10:58:34Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 2324-9749 | en_US |
dc.identifier.isbn | 978-3-319-79032-9 | |
dc.identifier.uri | http://hdl.handle.net/10679/6111 | |
dc.identifier.uri | https://www.springerprofessional.de/prelude-to-part-ii/15757292 | |
dc.description.abstract | In Part II, we focus on decentralized stochastic control problems and their applications. In Chapter 8, we present our results on the finite model approximation of multi-agent stochastic control problems (team decision problems). We show that optimal strategies obtained from finite models approximate the optimal cost with arbitrary precision under mild technical assumptions. In particular, we show that quantized team policies are asymptotically optimal. In Chapter 9, the results are applied to Witsenhausen’s counterexample and the Gaussian relay channel problem. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Finite Approximations in Discrete-Time Stochastic Control : Quantized Models and Asymptotic Optimality, Part of the Systems & Control: Foundations & Applications book series (SCFA) | |
dc.rights | restrictedAccess | |
dc.title | Prelude to part II | en_US |
dc.type | Book chapter | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-2677-7366 & YÖK ID 283091) Saldı, Naci | |
dc.contributor.ozuauthor | Saldı, Naci | |
dc.identifier.startpage | 153 | en_US |
dc.identifier.endpage | 157 | en_US |
dc.identifier.wos | WOS:000444697500007 | |
dc.identifier.doi | 10.1007/978-3-319-79033-6_7 | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85046996063 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Book Chapter - International - Institutional Academic Staff |
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