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Two-person zero-sum risk-sensitive stochastic games with incomplete reward information on one side. (English) Zbl 1527.91012

Summary: This study considers zero-sum risk-sensitive discrete-time stochastic games with incomplete reward information on one side. We show the existence of the value function, derive a new Shapley equation, and prove that the value function solves the Shapley equation, which is used to construct an optimal policy for the informed player. For the uninformed player, we construct an optimal policy by introducing a dual game. Finally, we give an example to illustrate the effects of the reward information and risk-sensitive parameters on the value function and optimal policies.

MSC:

91A15 Stochastic games, stochastic differential games
91A10 Noncooperative games
91A05 2-person games
91A50 Discrete-time games
91A27 Games with incomplete information, Bayesian games
Full Text: DOI

References:

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