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Nonzero-Sum Risk-Sensitive Stochastic Games on a Countable State Space

Arnab Basu  and  Mrinal K. Ghosh
Journal Name
Mathematics of Operations Research
Journal Publication
others
Publication Year
2018
Journal Publications Functional Area
Decision Sciences and Information Systems
Publication Date
Vol. 43, No 2, May 2018, Pg. 516-532
Abstract

The infinite horizon risk-sensitive discounted-cost and ergodic-cost nonzero-sum stochastic games for controlled Markov chains with countably many states are analyzed. For the discounted-cost game, we prove the existence of Nash equilibrium strategies in the class of Markov strategies under fairly general conditions. Under an additional weak geometric ergodicity condition and a small cost criterion, the existence of Nash equilibrium strategies in the class of stationary Markov strategies is proved for the ergodic-cost game. The key nontrivial contributions in the ergodic part are to prove the existence of a particular form of a (relative) value function solution to a player’s Bellman equation and the continuity of this solution with respect to the opponent’s strategies.

Nonzero-Sum Risk-Sensitive Stochastic Games on a Countable State Space

Author(s) Name: Arnab Basu  and  Mrinal K. Ghosh
Journal Name: Mathematics of Operations Research
Volume: Vol. 43, No 2, May 2018, Pg. 516-532
Year of Publication: 2018
Abstract:

The infinite horizon risk-sensitive discounted-cost and ergodic-cost nonzero-sum stochastic games for controlled Markov chains with countably many states are analyzed. For the discounted-cost game, we prove the existence of Nash equilibrium strategies in the class of Markov strategies under fairly general conditions. Under an additional weak geometric ergodicity condition and a small cost criterion, the existence of Nash equilibrium strategies in the class of stationary Markov strategies is proved for the ergodic-cost game. The key nontrivial contributions in the ergodic part are to prove the existence of a particular form of a (relative) value function solution to a player’s Bellman equation and the continuity of this solution with respect to the opponent’s strategies.