Learning an Unknown Network State in Routing Games

We study learning dynamics induced by myopic travelers who repeatedly play a routing game on a transportation network with an unknown state. The state impacts cost functions of one or more edges of the network. In each stage, travelers choose their routes according to Wardrop equilibrium based on pu...

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Bibliographic Details
Main Authors: Wu, Manxi, Amin, Saurabh
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Language:English
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/125223