Computer Science – Computer Science and Game Theory
Scientific paper
2011-01-14
Computer Science
Computer Science and Game Theory
26 pages
Scientific paper
We revisit classic algorithmic search and optimization problems from the perspective of competition. Rather than a single optimizer minimizing expected cost, we consider a zero-sum game in which an optimization problem is presented to two players, whose only goal is to outperform the opponent. Such games are typically exponentially large zero-sum games, but they often have a rich combinatorial structure. We provide general techniques by which such structure can be leveraged to find minmax-optimal and approximate minmax-optimal strategies. We give examples of ranking, hiring, compression, and binary search duels, among others. We give bounds on how often one can beat the classic optimization algorithms in such duels.
Immorlica Nicole
Kalai Adam Tauman
Lucier Brendan
Moitra Ankur
Postlewaite Andrew
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