CONTINUOUS-TIME ZERO-SUM GAMES FOR MAR- KOV DECISION PROCESSES WITH RISK-SENSITIVE FINITE-HORIZON COST CRITERION ON A GENERAL STATE SPACE

In this manuscript, we study continuous-time risk-sensitive finite-horizon time-homogeneous zero-sum dynamic games for controlled Markov decision processes (MDP) on a Borel space. Here, the transition and payoff functions are extended real-valued functions. We prove the existence of the game's value and the uniqueness of the solution of Shapley equation under some reasonable assumptions. Moreover, all possible saddle-point equilibria are completely characterized in the class of all admissible feedback multi-strategies. We also provide an example to support our assumptions.