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Parameterized Two-Player Nash Equilibrium

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Abstract

We study the problem of computing Nash equilibria in a two-player normal form (bimatrix) game from the perspective of parameterized complexity. Recent results proved hardness for a number of variants, when parameterized by the support size. We complement those results, by identifying three cases in which the problem becomes fixed-parameter tractable. Our results are based on a graph-theoretic representation of a bimatrix game, and on applying graph-theoretic tools on this representation.

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Notes

  1. Note that N[I]=N(I)∪I denotes the closed neighborhood if I.

References

  1. Abbott, T.G., Kane, D.M., Valiant, P.: On the complexity of two-player win-lose games. In: Proc. of the 46th Annual IEEE Symposium on Foundations Of Computer Science (FOCS), pp. 113–122 (2005)

    Chapter  Google Scholar 

  2. Addario-Berry, L., Olver, N., Vetta, A.: A polynomial time algorithm for finding Nash equilibria in planar win-lose games. J. Graph Algorithms Appl. 11(1), 309–319 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bodlaender, H.L., Downey, R.G., Fellows, M.R., Hermelin, D.: On problems without polynomial kernels. J. Comput. Syst. Sci. 75(8), 423–434 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  4. Bosse, H., Byrka, J., Markakis, E.: New algorithms for approximate Nash equilibria in bimatrix games. Theor. Comput. Sci. 411(1), 164–173 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  5. Chen, X., Deng, X.: 3-NASH is PPAD-complete. Electronic Colloquium on Computational Complexity (134) (2005)

  6. Chen, J., Chor, B., Fellows, M., Huang, X., Juedes, D., Kanj, I.A., Xia, G.: Tight lower bounds for certain parameterized NP-hard problems. Inf. Comput. 201(2), 216–231 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  7. Chen, X., Deng, X., Teng, S.-H.: Sparse games are hard. In: Proc. of the 2nd International Workshop on Internet and Network Economics (WINE), pp. 262–273 (2006)

    Chapter  Google Scholar 

  8. Chen, X., Teng, S.-H., Valiant, P.: The approximation complexity of win-lose games. In: Proc. of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 159–168 (2007)

    Google Scholar 

  9. Chen, X., Deng, X., Teng, S.-H.: Settling the complexity of computing two-player Nash equilibria. J. ACM 56(3), 1–57 (2009)

    Article  MathSciNet  Google Scholar 

  10. Codenotti, B., Leoncini, M., Resta, G.: Efficient computation of Nash equilibria for very sparse win-lose bimatrix games. In: Proc. of the 14th Annual European Symposium on Algorithms (ESA), pp. 232–243 (2006)

    Google Scholar 

  11. Daskalakis, C., Papadimitriou, C.H.: Three-player games are hard. Electronic Colloquium on Computational Complexity (139) (2005)

  12. Daskalakis, C., Papadimitriou, C.H.: On oblivious PTAS’s for Nash equilibrium. In: Proc. of the 41st Annual ACM Symposium on Theory Of Computing (STOC), pp. 75–84 (2009)

    Chapter  Google Scholar 

  13. Daskalakis, C., Mehta, A., Papadimitriou, C.H.: Progress in approximate Nash equilibria. In: Proc. of the 8th ACM Conference on Electronic Commerce (EC), pp. 355–358 (2007)

    Google Scholar 

  14. Daskalakis, C., Goldberg, P.W., Papadimitriou, C.H.: The complexity of computing a Nash equilibrium. Commun. ACM 52(2), 89–97 (2009)

    Article  Google Scholar 

  15. Daskalakis, C., Mehta, A., Papadimitriou, C.H.: A note on approximate Nash equilibria. Theor. Comput. Sci. 410(17), 1581–1588 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  16. Downey, R.G., Fellows, M.R.: Parameterized Complexity. Springer, Berlin (1999)

    Book  Google Scholar 

  17. Eppstein, D.: Subgraph isomorphism in planar graphs and related problems. J. Graph Algorithms Appl. 3(3), 1–27 (1999)

    Article  MathSciNet  Google Scholar 

  18. Estivill-Castro, V., Parsa, M.: Computing Nash equilibria gets harder: New results show hardness even for parameterized complexity. In: Proc. of the 15th Computing: The Australasian Theory Symposium (CATS), vol. 94, pp. 81–87 (2009)

    Google Scholar 

  19. Estivill-Castro, V., Parsa, M.: Single parameter fpt-algorithms for non-trivial games. In: Proc. of the 21st International Workshop On Combinatorial Algorithms (IWOCA), pp. 121–124 (2010)

    Google Scholar 

  20. Flum, J., Grohe, M.: Parameterized Complexity Theory. Springer, Berlin (2006)

    Google Scholar 

  21. Fortnow, L., Santhanam, R.: Infeasibility of instance compression and succinct PCPs for NP. J. Comput. Syst. Sci. 77(1), 91–106 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  22. Gilboa, I., Zemel, E.: Nash and correlated equilibria: Some complexity considerations. Games Econ. Behav. 1(1), 80–93 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  23. Goldberg, P.W., Papadimitriou, C.H.: Reducibility among equilibrium problems. In: Proc. of the 38th Annual ACM Symposium on Theory Of Computing (STOC), pp. 61–70 (2006)

    Google Scholar 

  24. Kalyanaraman, S., Umans, C.: Algorithms for playing games with limited randomness. In: Proc. of the 15th Annual European Symposium on Algorithms (ESA), pp. 323–334 (2007)

    Google Scholar 

  25. Kannan, R., Theobald, T.: Games of fixed rank: a hierarchy of bimatrix games. Econ. Theory 42, 157–173 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  26. Kontogiannis, S.C., Spirakis, P.G.: Exploiting concavity in bimatrix games: New polynomially tractable subclasses. In: Proc. of the 13th International Workshop on Algorithms and Techniques for Approximation, Randomization, and Combinatorial Optimization (APPROX), pp. 312–325 (2010)

    Chapter  Google Scholar 

  27. Lipton, R.J., Markakis, E., Mehta, A.: Playing large games using simple strategies. In: Proc. of the 4th ACM Conference on Electronic Commerce (EC), pp. 36–41 (2003)

    Google Scholar 

  28. Nisan, N., Roughgarden, T., Tardos, É., Vazirani, V.V.: Algorithmic Game Theory. Cambridge University Press, Cambridge (2007)

    Book  MATH  Google Scholar 

  29. Papadimitriou, C.H.: Algorithms, games, and the Internet. In: Proc. of the 33rd Annual ACM Symposium on Theory of Computing (STOC), pp. 749–753 (2001)

    Google Scholar 

  30. Tsaknakis, H., Spirakis, P.G.: An optimization approach for approximate Nash equilibria. Internet Math. 5(4), 365–382 (2008)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Magnus Wahlström.

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The third author acknowledges support by the Netherlands Organisation for Scientific Research (NWO), project “KERNELS: Combinatorial Analysis of Data Reduction”.

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Hermelin, D., Huang, CC., Kratsch, S. et al. Parameterized Two-Player Nash Equilibrium. Algorithmica 65, 802–816 (2013). https://doi.org/10.1007/s00453-011-9609-z

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