From Battlefields to Elections: Winning Strategies of Blotto and Auditing Games

From Battlefields to Elections: Winning Strategies of Blotto and Auditing Games

Mixed strategies are often evaluated based on the expected payoff that they guarantee. This is not always desirable. In this paper, we consider games for which maximizing the expected payoff deviates from the actual goal of the players. To address this issue, we introduce the notion of a (u; p)-maxm...

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Bibliographic Details
Main Authors: Behnezhad, Soheil, Blum, Avrim, Derakhshan, Mahsa, HajiAghayi, MohammadTaghi, Mahdian, Mohammad, Papadimitriou, Christos H., Rivest, Ronald L., Seddighin, Saeed, Stark, Philip B.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Book
Language:English
Published: Society for Industrial and Applied Mathematics 2020
Online Access:https://hdl.handle.net/1721.1/125193

Internet

https://hdl.handle.net/1721.1/125193

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