Nonzero-sum games for continuous-time Markov chains with unbounded transition and average payoff rates

被引:0
作者
ZHANG WenZhao & GUO XianPing School of Mathematics and Computational Science
机构
基金
美国国家科学基金会;
关键词
nonzero-sum game; expected average criterion; Nash equilibrium; unbounded transition rates; unbounded payoff function;
D O I
暂无
中图分类号
F224.32 [博弈论]; O211.62 [马尔可夫过程];
学科分类号
020208 ; 070103 ; 0714 ; 1201 ;
摘要
This paper attempts to study two-person nonzero-sum games for denumerable continuous-time Markov chains determined by transition rates,with an expected average criterion.The transition rates are allowed to be unbounded,and the payoff functions may be unbounded from above and from below.We give suitable conditions under which the existence of a Nash equilibrium is ensured.More precisely,using the socalled "vanishing discount" approach,a Nash equilibrium for the average criterion is obtained as a limit point of a sequence of equilibrium strategies for the discounted criterion as the discount factors tend to zero.Our results are illustrated with a birth-and-death game.
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页码:2405 / 2416
页数:12
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