Information Collection on a Graph

Information Collection on a Graph

0.00 Avg rating0 Votes
Article ID: iaor20113627
Volume: 59
Issue: 1
Start Page Number: 188
End Page Number: 201
Publication Date: Jan 2011
Journal: Operations Research
Authors: ,
Keywords: graphs, networks: path
Abstract:

We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values in order to learn about the best path. This problem differs from traditional ranking and selection in that the implementation decision (the path we choose) is distinct from the measurement decision (the edge we measure). Our decision rule is easy to compute and performs competitively against other learning policies, including a Monte Carlo adaptation of the knowledge gradient policy for ranking and selection.

Reviews

Required fields are marked *. Your email address will not be published.