Average stochastic games for continuous-time jump processes

被引:2
|
作者
Wei, Qingda [1 ]
Chen, Xian [2 ]
机构
[1] Huaqiao Univ, Sch Econ & Finance, Quanzhou 362021, Peoples R China
[2] Xiamen Univ, Sch Math Sci, Xiamen 361005, Peoples R China
基金
中国国家自然科学基金;
关键词
Nonzero-sum game; Average optimality; Uncountable state space; Nash equilibrium; MARKOV DECISION-PROCESSES; STATIONARY; EQUILIBRIA;
D O I
10.1016/j.orl.2020.11.007
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
We consider nonzero-sum games for continuous-time jump processes with unbounded transition rates under expected average payoff criterion. The state and action spaces are Borel spaces and reward rates are unbounded. We introduce an approximating sequence of stochastic game models with extended state space, for which the uniform exponential ergodicity is obtained. Moreover, we prove the existence of a stationary almost Markov Nash equilibrium by introducing auxiliary static game models. Finally, a cash flow model is employed to illustrate the results. (c) 2020 Elsevier B.V. All rights reserved.
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页码:84 / 90
页数:7
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