USING STRATEGY IMPROVEMENT TO STAY ALIVE

被引:7
|
作者
Brim, Lubos [1 ]
Chaloupka, Jakub [1 ]
机构
[1] Masaryk Univ, Fac Informat, Brno 60200, Czech Republic
关键词
Mean-payoff games; strategy improvement; experimental evaluation; MEAN-PAYOFF GAMES; ALGORITHM;
D O I
10.1142/S0129054112400291
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We design a novel algorithm for solving Mean-Payoff Games (MPGs). Besides solving an MPG in the usual sense, our algorithm computes more information about the game, information that is important with respect to applications. The weights of the edges of an MPG can be thought of as a gained/consumed energy - depending on the sign. For each vertex, our algorithm computes the minimum amount of initial energy that is sufficient for player Max to ensure that in a play starting from the vertex, the energy level never goes below zero. Our algorithm is not the first algorithm that computes the minimum sufficient initial energies, but according to our experimental study it is the fastest algorithm that computes them. The reason is that it utilizes the strategy improvement technique which is very efficient in practice.
引用
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页码:585 / 608
页数:24
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