Correlation Decay in Random Decision Networks

We consider a decision network on an undirected graph in which each node corresponds to a decision variable, and each node and edge of the graph is associated with a reward function whose value depends only on the variables of the corresponding nodes. The goal is to construct a decision vector that...

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Bibliographic Details
Main Authors: Gamarnik, David, Goldberg, David, Weber, Theophane G.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Published: Institute for Operations Research and the Management Sciences (INFORMS) 2019
Online Access:http://hdl.handle.net/1721.1/120938
https://orcid.org/0000-0001-8898-8778

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