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Determining Nash Equilibria for Stochastic Positional Games with Discounted Payoffs

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10576))

Abstract

A class of discounted stochastic games is formulated and studied by applying the concept of positional games to Markov decision processes with expected total discounted reward criteria. Existence results of pure and mixed stationary Nash equilibria for the considered class of discounted stochastic positional games are presented and an approach for determining the optimal strategies of the players is proposed.

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References

  1. Fink, A.M.: Equilibrium in a stochastic n-person game. J. Sci. Hiroshima Univ. Ser. A-1 28, 89–93 (1964)

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Correspondence to Dmitrii Lozovanu .

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Lozovanu, D., Pickl, S. (2017). Determining Nash Equilibria for Stochastic Positional Games with Discounted Payoffs. In: Rothe, J. (eds) Algorithmic Decision Theory. ADT 2017. Lecture Notes in Computer Science(), vol 10576. Springer, Cham. https://doi.org/10.1007/978-3-319-67504-6_24

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  • DOI: https://doi.org/10.1007/978-3-319-67504-6_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67503-9

  • Online ISBN: 978-3-319-67504-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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