Zero-Sum Games for Finite-Horizon Semi-Markov Processes Under the Probability Criterion
成果类型:
Article
署名作者:
Huang, Xiangxiang; Guo, Xianping; Wen, Xin
署名单位:
Dongguan University of Technology; Sun Yat Sen University; Sun Yat Sen University
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2022.3220507
发表日期:
2023
页码:
5560-5567
关键词:
games
game theory
Markov processes
kernel
iterative methods
COSTS
Heuristic algorithms
Finite-horizon semi-Markov process
probability criterion
saddle point
value iterative algorithm
Zero-sum game
摘要:
This study discusses a two-person zero-sum game for finite-horizon semi-Markov processes, where the concerned criterion is the probability that the total payoff produced by a system during a finite horizon exceeds a prescribed goal. We establish the Shapley equation and the existence of a saddle point under a suitable condition. Moreover, we develop a value iterative algorithm to compute an e-saddle point and approach the value of the game by solving a series of matrix games. The construction of the e-saddle point and the convergence of the algorithm are also shown. Finally, we demonstrate the application of our main results by an example on an inventory system.