Zero-sum semi-Markov games with a probability criterion

Abstract

In this paper, we consider a semi-Markov zero-sum stochastic game with a general state and finite action spaces. The performance is analysed via a probability criterion. Under suitable assumptions, we establish the existence of the value of the game and also characterize it through an optimality equation. In the process, we also prescribe a saddle point equilibrium.