On Learning With Finite Memory

On Learning With Finite Memory

We consider an infinite collection of agents who make decisions, sequentially, about an unknown underlying binary state of the world. Each agent, prior to making a decision, receives an independent private signal whose distribution depends on the state of the world. Moreover, each agent also observe...

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Bibliographic Details
Main Authors: Drakopoulos, Kimon (Contributor), Tsitsiklis, John N. (Contributor), Ozdaglar, Asuman E. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-09-30T18:25:32Z.
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