Strategy recovery for stochastic mean payoff games

被引：0
|
作者：
Mamino, Marcello [1 ]
机构：
[1] Tech Univ Dresden, D-01062 Dresden, Germany
来源：
THEORETICAL COMPUTER SCIENCE | 2017年 / 675卷
基金：
欧洲研究理事会;
关键词：
Stochastic mean payoff games; Computational complexity; PERFECT INFORMATION;
D O I：
10.1016/j.tcs.2017.02.015
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We prove that to find optimal positional strategies for stochastic mean payoff games when the value of every state of the game is known, in general, is as hard as solving such games tout court. This answers a question posed by Daniel Andersson and Peter Bro Miltersen. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：101 / 104
页数：4
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