Settling the complexity of Nash equilibrium in congestion games

Settling the complexity of Nash equilibrium in congestion games
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解决拥塞博弈中纳什均衡的复杂性

DOI:
10.1145/3406325.3451039
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发表时间:
2020
期刊:
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
影响因子:
--
通讯作者:
A. Rubinstein
A. Rubinstein
中科院分区:
--
文献类型:
--
作者:
Y. Babichenko;A. Rubinstein

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我们考虑(i)在拥塞博弈中找到一个(可能是混合的)纳什均衡的问题,以及(ii)找到一个光滑函数f:[0,1]n → n的梯度下降动力学的(指数精度)不动点的问题。我们证明了这些问题是等价的。我们的结果适用于各种明确的描述f,范围从(几乎一般)算术电路,5度多项式。根据[Fearnley等人,STOC 2021],这意味着这些问题是PPAD完全的。作为推论,我们还得到了以下复杂性类的等价性:CCLS = PPAD <$PLS。
We consider (i) the problem of finding a (possibly mixed) Nash equilibrium in congestion games, and (ii) the problem of finding an (exponential precision) fixed point of the gradient descent dynamics of a smooth function f:[0,1]n → ℝ. We prove that these problems are equivalent. Our result holds for various explicit descriptions of f, ranging from (almost general) arithmetic circuits, to degree-5 polynomials. By a very recent result of [Fearnley et al., STOC 2021], this implies that these problems are PPAD ∩ PLS-complete. As a corollary, we also obtain the following equivalence of complexity classes: CCLS = PPAD ⋂ PLS.
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