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• W1531647055 abstract "We study the design of mechanisms in combinatorial auction domains. We focus on settings where the auction is repeated, motivated by auctions for licenses or advertising space. We consider models of agent behaviour in which they either apply common learning techniques to minimize the regret of their bidding strategies, or apply short-sighted best-response strategies. We ask: when can a black-box approximation algorithm for the base auction problem be converted into a mechanism that approximately preserves the original algorithm's approximation factor on average over many iterations? We present a general reduction for a broad class of algorithms when agents minimize external regret. We also present a new mechanism for the combinatorial auction problem that attains an $O(sqrt{m})$ approximation on average when agents apply best-response dynamics." @default.
• W1531647055 created "2016-06-24" @default.
• W1531647055 creator A5082964830 @default.
• W1531647055 date "2009-09-30" @default.
• W1531647055 modified "2023-09-27" @default.
• W1531647055 title "Beyond Equilibria: Mechanisms for Repeated Combinatorial Auctions" @default.
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