Denumerable Markov stopping games with risk-sensitive total reward criterion
Kybernetika, Tome 60 (2024) no. 1, pp. 1-18
Cet article a éte moissonné depuis la source Czech Digital Mathematics Library
This paper studies Markov stopping games with two players on a denumerable state space. At each decision time player II has two actions: to stop the game paying a terminal reward to player I, or to let the system to continue it evolution. In this latter case, player I selects an action affecting the transitions and charges a running reward to player II. The performance of each pair of strategies is measured by the risk-sensitive total expected reward of player I. Under mild continuity and compactness conditions on the components of the model, it is proved that the value of the game satisfies an equilibrium equation, and the existence of a Nash equilibrium is established.
This paper studies Markov stopping games with two players on a denumerable state space. At each decision time player II has two actions: to stop the game paying a terminal reward to player I, or to let the system to continue it evolution. In this latter case, player I selects an action affecting the transitions and charges a running reward to player II. The performance of each pair of strategies is measured by the risk-sensitive total expected reward of player I. Under mild continuity and compactness conditions on the components of the model, it is proved that the value of the game satisfies an equilibrium equation, and the existence of a Nash equilibrium is established.
DOI :
10.14736/kyb-2024-1-0001
Classification :
91A10, 91A15
Keywords: monotone operator; fixed point; equilibrium equation; Nash equilibrium; hitting time; bounded rewards
Keywords: monotone operator; fixed point; equilibrium equation; Nash equilibrium; hitting time; bounded rewards
@article{10_14736_kyb_2024_1_0001,
author = {Torres-Gomar, Manuel A. and Cavazos-Cadena, Rolando and Cruz-Su\'arez, Hugo},
title = {Denumerable {Markov} stopping games with risk-sensitive total reward criterion},
journal = {Kybernetika},
pages = {1--18},
year = {2024},
volume = {60},
number = {1},
doi = {10.14736/kyb-2024-1-0001},
mrnumber = {4730697},
zbl = {07893444},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.14736/kyb-2024-1-0001/}
}
TY - JOUR AU - Torres-Gomar, Manuel A. AU - Cavazos-Cadena, Rolando AU - Cruz-Suárez, Hugo TI - Denumerable Markov stopping games with risk-sensitive total reward criterion JO - Kybernetika PY - 2024 SP - 1 EP - 18 VL - 60 IS - 1 UR - http://geodesic.mathdoc.fr/articles/10.14736/kyb-2024-1-0001/ DO - 10.14736/kyb-2024-1-0001 LA - en ID - 10_14736_kyb_2024_1_0001 ER -
%0 Journal Article %A Torres-Gomar, Manuel A. %A Cavazos-Cadena, Rolando %A Cruz-Suárez, Hugo %T Denumerable Markov stopping games with risk-sensitive total reward criterion %J Kybernetika %D 2024 %P 1-18 %V 60 %N 1 %U http://geodesic.mathdoc.fr/articles/10.14736/kyb-2024-1-0001/ %R 10.14736/kyb-2024-1-0001 %G en %F 10_14736_kyb_2024_1_0001
Torres-Gomar, Manuel A.; Cavazos-Cadena, Rolando; Cruz-Suárez, Hugo. Denumerable Markov stopping games with risk-sensitive total reward criterion. Kybernetika, Tome 60 (2024) no. 1, pp. 1-18. doi: 10.14736/kyb-2024-1-0001
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