Continuous-time zero-sum games for markov decision processes with discounted risk-sensitive cost criterion on a general state space

We consider zero-sum stochastic games for controlled continuous time Markov processes on a general state space with risk-sensitive discounted cost criteria. The transition and cost rates are possibly unbounded. Under a stability assumption, we prove the existence of a saddle-point equilibrium in the class of Markov strategies and give a characterization in terms of the corresponding Hamilton-Jacobi-Isaacs (HJI) equation. Also, we illustrate our results and assumptions by an example.