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dc.contributor.authorAjorlou, Amir
dc.contributor.authorJadbabaie-Moghadam, Ali
dc.date.accessioned2017-10-27T15:07:29Z
dc.date.available2017-10-27T15:07:29Z
dc.date.issued2016-12
dc.date.submitted2016-12
dc.identifier.isbn978-1-5090-1837-6
dc.identifier.urihttp://hdl.handle.net/1721.1/111985
dc.description.abstractWe study the perfect Bayesian equilibria of a leader-follower game of incomplete information. The follower makes a noisy observation of the leader's action (who moves first) and chooses an action minimizing her expected deviation from the leader's action. Knowing this, leader who observes the realization of the state, chooses an action that minimizes her distance to the state of the world and the ex-ante expected deviation from the follower's action. We show the existence of what we call “near piecewise-linear equilibria” when there is strong complementarity between the leader and the follower and the precision of the prior is poor. As a major consequence of this result, we prove local optimality of a class of slopey quantization strategies which had been suspected of being the optimal solution in the past, based on numerical evidence for Witsenhausen's counterexample.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CDC.2016.7798805en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Jadbabaie via Anne Grahamen_US
dc.titleSlopey quantizers are locally optimal for Witsenhausen's counterexampleen_US
dc.typeArticleen_US
dc.identifier.citationAjorlou, Amir, and Jadbabaie, Ali. “Slopey Quantizers Are Locally Optimal for Witsenhausen’s Counterexample.” 2016 IEEE 55th Conference on Decision and Control (CDC), December 12-14 2016, Las Vegas, Nevada, USA, Institute of Electrical and Electronics Engineers (IEEE), December 2016 © 2016 Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.approverJadbabaie, Alien_US
dc.contributor.mitauthorAjorlou, Amir
dc.contributor.mitauthorJadbabaie-Moghadam, Ali
dc.relation.journal2016 IEEE 55th Conference on Decision and Control (CDC)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsAjorlou, Amir; Jadbabaie, Alien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3553-4638
mit.licenseOPEN_ACCESS_POLICYen_US


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