Regularized stochastic team problems
dc.contributor.author | Saldı, Naci | |
dc.date.accessioned | 2022-08-08T11:36:01Z | |
dc.date.available | 2022-08-08T11:36:01Z | |
dc.date.issued | 2021-03 | |
dc.identifier.issn | 0167-6911 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/7775 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0167691121000062 | |
dc.description.abstract | In this paper, we introduce regularized stochastic team problems. Under mild assumptions, we prove that there exists a unique fixed point of the best response operator, where this unique fixed point is the optimal regularized team decision rule. Then, we establish an asynchronous distributed algorithm to compute this optimal strategy. We also provide a bound that shows how the optimal regularized team decision rule performs in the original stochastic team problem. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | Systems & Control Letters | |
dc.rights | restrictedAccess | |
dc.title | Regularized stochastic team problems | en_US |
dc.type | Article | en_US |
dc.peerreviewed | yes | 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.volume | 149 | en_US |
dc.identifier.wos | WOS:000632569700010 | |
dc.identifier.doi | 10.1016/j.sysconle.2021.104876 | en_US |
dc.subject.keywords | Team decision theory | en_US |
dc.subject.keywords | Decentralized stochastic control | en_US |
dc.subject.keywords | Regularization | en_US |
dc.subject.keywords | Person-by-person optimality | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85099615315 | |
dc.relation.publicationcategory | Article - International Refereed Journal - Institutional Academic Staff |
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