可附番状態空間をもつ連続時間マルコフゲームについて

Abstract

This paper is a continuation of our papers [6] and [7] and is concerned with a continuous time Markov game in which the state space is countable and the action spaces of player I and player II are compact metric spaces. In the game, the players continuously observe the state of the system and then choose actions. As a result, the reward is paid to player I from player II and the system moves to a new state by the known transition rates. Then we consider the optimization problem to maximize the total expected discounted gain for player I and, at the same time, to minimize the total expected loss for player II as the game proceeds to the infinite future. We show that such a two-person zero-sum game is strictly determined and both players have optimal stationary strategies.