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...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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Elsevier BV
2020
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| On-line přístup: | https://hdl.handle.net/1721.1/125223 |