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Continuous-Time Zero-Sum Games for Markov Decision Processes with Discounted Risk-Sensitive Cost Criterion

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In this paper, we study two-person zero-sum stochastic games for controlled continuous time Markov decision processes with risk-sensitive discounted cost criterion. The transition and cost rates are possibly unbounded. For… Click to show full abstract

In this paper, we study two-person zero-sum stochastic games for controlled continuous time Markov decision processes with risk-sensitive discounted cost criterion. The transition and cost rates are possibly unbounded. For the zero-sum stochastic game, we prove the existence of the value of the game and saddle-point equilibrium in the class of history dependent strategies under a Foster–Lyapunov condition. We achieve our results by studying the corresponding Hamilton–Jacobi–Isaacs equation.

Keywords: markov decision; zero sum; continuous time; sum; cost; decision processes

Journal Title: Dynamic Games and Applications
Year Published: 2021

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