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Pure Equilibrium Strategies for Stochastic Games via Potential Functions

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Book cover Advances in Dynamic Games and Their Applications

Part of the book series: Annals of the International Society of Dynamic Games ((AISDG,volume 10))

Abstract

Strategic games with a potential function have quite often equilibria in pure strategies (Monderer and Shapley [4]). This is also true for stochastic games but the existence of a potential function is mostly hard to prove. For some classes of stochastic games with an additional structure, an equilibrium can be found by solving one or a finite number of finite strategic games.We call these games auxiliary games. In this paper, we investigate if we can derive the existence of equilibria in pure stationary strategies from the fact that the auxiliary games allow for a potential function. We will do this for zero-sum, two-person discounted stochastic games and non-zero-sum discounted stochastic games with additive reward functions and additive transitions (Raghavan et al. [8]) or with separable rewards and state independent transitions (Parthasarathy et al. [5]).

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References

  1. Blackwell D. Discounted dynamic programming. Annals of Mathematical Statistics, 33, (1962), 719–726.

    Article  MATH  MathSciNet  Google Scholar 

  2. Filar JA and Vrieze OJ. Competitive Markov decision processes. Springer Verlag, Berlin (1996).

    Google Scholar 

  3. Fink AM. Equilibrium in stochastic n-person game. J. Science of the Hiroshima University, Series A–I, 28, (1964), 89–93.

    MATH  MathSciNet  Google Scholar 

  4. Monderer D and Shapley LS. Potential games. Games and Economic Behavior, 14, (1996), 124–143.

    Article  MATH  MathSciNet  Google Scholar 

  5. Parthasarathy T, Tijs SH and Vrieze OJ. Stochastic games with state independent transitions and separable rewards. In: Selected topics in OR and Mathematical Economics (Eds: G. Hammer and D.Pallaschke) Springer Verlag, Berlin, Lecture Note Series 226, (1984), 262–271.

    Google Scholar 

  6. Nowak AS and Raghavan TES. A finite step algorithm via a bimatrix game to a single controller non-zero sum stochastic game, Mathematical Programming 59, (1993), 249–259.

    Article  MathSciNet  Google Scholar 

  7. Thuijsman F and Raghavan TES. Perfect information stochastic games and related classes, International J. Game Theory, 26, (1997), pp. 403–408.

    MATH  MathSciNet  Google Scholar 

  8. Raghavan TES, Tijs SH and Vrieze OJ. On stochastic games with additive reward and additive transition structure. J. Optimization Theory and Applications, 47, (1985), 451–464.

    Article  MATH  MathSciNet  Google Scholar 

  9. Shapley LS. Stochastic games. Proceedings of the National Academy of Science USA, 39, (1953), 1095–1100.

    Article  MATH  MathSciNet  Google Scholar 

  10. Shapley LS. Some topics in two-person games. In: Advances in game theory (Eds. M Dresher, LS Shapley and AW Tucker). Princeton University Press, Princeton NJ, (1964), 1–28.

    Google Scholar 

  11. Takahashi M. Equilibrium points of stochastic non-cooperative n-person game. J. Science of the Hiroshima University, Series A–I, 28, (1964), 95–99.

    MATH  Google Scholar 

  12. Thuijsman F and Raghavan TES. Perfect information stochastic games and related classes, International J. Game Theory, 26, (1997), pp. 403–408.

    MATH  MathSciNet  Google Scholar 

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Correspondence to Jos A.M. Potters .

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© 2009 Birkhäuser Boston

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Potters, J.A., Raghavan, T., Tijs, S.H. (2009). Pure Equilibrium Strategies for Stochastic Games via Potential Functions. In: Pourtallier, O., Gaitsgory, V., Bernhard, P. (eds) Advances in Dynamic Games and Their Applications. Annals of the International Society of Dynamic Games, vol 10. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4834-3_22

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