Risk-sensitive Markov stopping games with an absorbing state
Jaicer López-Rivero, Rolando Cavazos-Cadena, Hugo Cruz-Suárez (2022)
Kybernetika
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This work is concerned with discrete-time Markov stopping games with two players. At each decision time player II can stop the game paying a terminal reward to player I, or can let the system to continue its evolution. In this latter case player I applies an action affecting the transitions and entitling him to receive a running reward from player II. It is supposed that player I has a no-null and constant risk-sensitivity coefficient, and that player II tries to minimize the utility...