奇偶博弈策略改进算法的指数下界

Oliver Friedmann
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引用次数: 93

摘要

本文给出了求解Voege和Jurdzinski奇偶对策的离散策略改进算法的一个新的下界。首先,我们非正式地展示了算法难以求解的结构。其次,我们概述了一系列博弈,其中算法需要指数级的多次策略迭代,以否定的方式回答了该算法是否在多项式时间内运行的长期问题。此外,我们注意到,同一类博弈可以用来证明一个类似的结果,例如Schewe的策略改进变体,以及由于Puri而解决折扣收益博弈的策略迭代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exponential Lower Bound for the Parity Game Strategy Improvement Algorithm as We Know it
This paper presents a new lower bound for the discrete strategy improvement algorithm for solving parity games due to Voege and Jurdzinski. First, we informally show which structures are difficult to solve for the algorithm. Second, we outline a family of games on which the algorithm requires exponentially many strategy iterations, answering in the negative the long-standing question whether this algorithm runs in polynomial time. Additionally we note that the same family of games can be used to prove a similar result w.r.t. the strategy improvement variant by Schewe as well as the strategy iteration for solving discounted payoff games due to Puri.
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