Finding Approximate Nash Equilibria of Bimatrix Games via Payoff Queries
Finding Approximate Nash Equilibria of Bimatrix Games via Payoff Queries
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通过支付查询找到 Bimatrix 博弈的近似纳什均衡
DOI:
10.1145/2956579
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发表时间:
2016
影响因子:
1.2
通讯作者:
Fearnley J
中科院分区:
文献类型:
--
作者:
Fearnley J
We study the deterministic and randomized query complexity of finding approximate equilibria in ak×kbimatrix game. We show that the deterministic query complexity of finding an ϵ-Nash equilibrium when ϵ < ½ is Ω(k2), even in zero-one constant-sum games. In combination with previous results [Fearnley et al. 2013], this provides a complete characterization of the deterministic query complexity of approximate Nash equilibria. We also study randomized querying algorithms. We give a randomized algorithm for finding a (3-√5/2 + ϵ)-Nash equilibrium usingO(k.logk/ϵ2) payoff queries, which shows that the ½ barrier for deterministic algorithms can be broken by randomization. For well-supported Nash equilibria (WSNE), we first give a randomized algorithm for finding an ϵ-WSNE of a zero-sum bimatrix game usingO(k.logk/ϵ4) payoff queries, and we then use this to obtain a randomized algorithm for finding a (⅔ + ϵ)-WSNE in a general bimatrix game usingO(k.logk/ϵ4) payoff queries. Finally, we initiate the study of lower bounds against randomized algorithms in the context of bimatrix games, by showing that randomized algorithms require Ω(k2) payoff queries in order to find an ϵ-Nash equilibrium with ϵ < 1/4k, even in zero-one constant-sum games. In particular, this rules out query-efficient randomized algorithms for finding exact Nash equilibria.
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DOI:
--
发表时间:
2013
期刊:
Games Econ. Behav.
影响因子:
--
作者:
S. Hart;N. Nisan
通讯作者:
N. Nisan
DOI:
--
发表时间:
2014
期刊:
Journal of computer and system sciences (Print)
影响因子:
--
作者:
P. Goldberg;S. Turchetta
通讯作者:
S. Turchetta
DOI:
10.1145/2482540.2482558
发表时间:
2013-02
期刊:
J. Mach. Learn. Res.
影响因子:
--
作者:
John Fearnley;Martin Gairing;P. Goldberg;Rahul Savani
通讯作者:
John Fearnley;Martin Gairing;P. Goldberg;Rahul Savani
影响因子:
1.1
作者:
Czumaj A
通讯作者:
Czumaj A
影响因子:
1.1
作者:
Fearnley J
通讯作者:
Fearnley J