Knightian Robustness from Regret Minimization

Autor: Chiesa, Alessandro, Micali, Silvio, Zhu, Zeyuan Allen
Rok vydání: 2014
Předmět:
Druh dokumentu: Working Paper
Popis: We consider auctions in which the players have very limited knowledge about their own valuations. Specifically, the only information that a Knightian player $i$ has about the profile of true valuations, $\theta^*$, consists of a set of distributions, from one of which $\theta_i^*$ has been drawn. We analyze the social-welfare performance of the VCG mechanism, for unrestricted combinatorial auctions, when Knightian players that either (a) choose a regret-minimizing strategy, or (b) resort to regret minimization only to refine further their own sets of undominated strategies, if needed. We prove that this performance is very good.
Databáze: arXiv