Abstract
In this paper the problem of the existence and determining stationary Nash equilibria in a single-controller average stochastic game is considered. The set of states and the set of actions in the game are assumed to be finite. We show that all stationary equilibria for such a game can be obtained from an auxiliary noncooperative static game in normal form where the payoffs are quasi-monotonic (quasi-convex and quasi-concave) with respect to the corresponding strategies of the players and graph-continuous in the sense of Dasgupta and Maskin. Based on this we present a proof of the existence of stationary equilibria in a single-controller average stochastic game and propose an approach for determining the optimal stationary strategies of the players.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boyd, S., Vandenberghe, L.: Convex optimization. Cambridge University, Cambridge (2004)
Dasgupta, P., Maskin, E.: The existence of equilibrium in discontinuous economic games. Rev. Econ. Stud. 53, 1–26 (1986)
Fan, K.: Application of a theorem concerned sets with convex sections. Math. Ann. 1963, 189–203 (1966)
Filar, J.A.: On stationary equilibria of a single-controller stochastic game. Math. Program. 30, 313–325 (1984)
Filar, J.A.: Quadratic programming and the single-controller stochastic game. J. Math. Anal. Appl. 113, 136–147 (1986). Math. Program. 30, 313–325 (1984)
Filar, J.A., Raghavan, T.E.S.: A matrix game solution to a single-controller stochastic game. Math. Oper. Res. 9, 356–362 (1984)
Filar, J.A., Schultz, T.A.: Bilinear programming and structured stochastic games. J. Optim. Theory Appl. 53, 85–104 (1987)
Hordijk, A., Kallenberg, L.S.: Linear programming and Markov games. In: Meschling, O., Pallaschke, D. (eds.) Game Theory and Mathematical Economics, pp. 307–319. North-Holland, Amsterdam (1984)
Kallenberg, L.S.: Markov Decision Processes. University of Leiden, Leiden (2016)
Lozovanu, D.: Stationary Nash equilibria for average stochastic positional games. In: Petrosyan et al. (eds.) Frontiers of dynamic games, Static and Dynamic Games Theory: Foundation and Applications, pp. 139–163. Springer, Birkhäuser (2018)
Lozovanu, D.: Pure and mixed stationary Nash equilibria for average stochastic positional games. In: Petrosyan et al. (eds.) Frontiers of dynamic games, Static and Dynamic Games Theory: Foundation and Applications, pp. 131–156. Springer, Birkhäuser (2019)
Lozovanu, D., Pickl, S.: Optimization and Multiobjective Control of Time-Discrete Systems. Springer, Berlin (2009)
Nash, J.: Non-cooperative games. Ann Math. 54, 286–293 (1953)
Parthasarathy, T., Raghavan, T.E.S.: An orderfield property for stochastic games when one player control transition probabilities. J. Optim. Theory Appl. 33, 375–392 (1981)
Puterman, M.: Markov Decision Processes: Discrete Dynamic Programming. Wiley, Hoboken (2005)
Raghavan, T.E.S.: Finite-step algorithms for single-controller and perfect information stochastic games: Computing stationary Nasg equilibria of undiscounted single-controller stochastic games. In: Neyman, A., Sorin, S. (eds.) Stochastic Games and Aplications, NATO Science Series, vol. 570, pp. 227–251 (2003)
Raghavan, T.E.S., Syed, Z.: Computing stationary Nash equilibria of undiscounted single-controller stochastic games. Math. Oper. Res. 27(2) 384–400 (2002)
Rogers, P.: Nonzero-Sum Stochastic Games. PhD thesis, University of California, Berkeley, Report ORC 69-8 (1966)
Rosenberg, D., Solan, E., Vieille, N.: Stochastic games with a single controller and incomplete information. SIAM J. Control Optim. 43(1), 86–110 (2004)
Shapley, L.: Stochastic games. Proc. Natl. Acad. Sci. USA 39, 1095–1100 (1953)
Vrieze, O.J.: Linear programming and undiscounted stochastic games in which one player controls transitions. OR Spectrum 3, 29–35 (1981)
Vrieze, O.J.: Stochastic games, practical motivation and theorderfield property for special classes. In: Neyman, A., Sorin, S. (eds.) Stochastic Games and Applications, NATO Science Series 570, 215–225 (2003)
Acknowledgements
The authors are grateful to the referee for the valuable suggestions and remarks contributing to improve the presentation of the paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Lozovanu, D., Pickl, S. (2021). An Approach for Determining Stationary Equilibria in a Single-Controller Average Stochastic Game. In: Petrosyan, L.A., Mazalov, V.V., Zenkevich, N.A. (eds) Frontiers of Dynamic Games. Trends in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-93616-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-93616-7_13
Published:
Publisher Name: Birkhäuser, Cham
Print ISBN: 978-3-030-93615-0
Online ISBN: 978-3-030-93616-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)