Skip to main content

Algorithms for the Solution of a Large-Scale Single-Controller Stochastic Game

  • Conference paper
Advances in Dynamic Games and Applications

Part of the book series: Annals of the International Society of Dynamic Games ((AISDG,volume 1))

  • 315 Accesses

Abstract

In this paper, we present three algorithms for the solution of a large-scale zero-sum two-player stochastic game in discrete time, with a finite state set and continuous action spaces, where one of the players controls the transition probabilities. This particular game has an application in multi-stage stochastic decision problems.

Résumé

Dans cet article, nous proposons trois algorithmes pour la solution d’un jeu stochastique à somme nulle en temps discret, comportant un ensemble fini d’états et un espace d’actions continu. II s’agit d’un jeu dit à contrôleur unique, où l’un des joueurs décide des probabilités de transition entre états. On présente une application du jeu à des problèmes en environnement dynamique stochastique avec information incomplète sur les données.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Breton, M. and S. El-Hachem (1991), Decomposition Algorithms for Stochastic Dynamic Programs, working paper, Cahiers du GERAD G-91-15.

    Google Scholar 

  • Breton, M. and S. El-Hachem (1992), Algorithms for the Solution of Stochastic Dynamic Minimax Problems, working paper, Cahiers du GERAD G-92-32.

    Google Scholar 

  • Dupacova, J. (1987), The Minimax Approach to Stochastic Programming and Illustrative Application, Stochastics, 28, 73–88.

    Article  MathSciNet  Google Scholar 

  • Eckstein, J. (1989), Splitting Methods for Monotone Operators with Applications to Parallel Optimization, PhD thesis, M.I.T.

    Google Scholar 

  • Ermoliev, Y. (1966), Methods for Solving Non-Linear Extremal Problems, Cybernetics, 2, 1–17.

    Article  Google Scholar 

  • Ermoliev, Y., A. Gaivoronsky and C. Nedeva (1985), Stochastic Optimization Problems with Partially Known Distribution Functions, SIAM Journal on Control and Optimization, 23, 697–716.

    Article  MathSciNet  MATH  Google Scholar 

  • Filar, J.A. and T.E.S. Raghavan (1984), A Matrix Game Solution of the Single-Controller Stochastic Game, MOR, 9, 356–362.

    Article  MathSciNet  MATH  Google Scholar 

  • Gabay, D. and B. Mercier (1976), A Dual Algorithm for the Solution of Nonlinear Variational Problems via Finite Element Approximations, Computers and Mathematics with Applications, 2, 17–40.

    Article  MATH  Google Scholar 

  • Glowinski, R. and A. Marroco (1975), Sur l‘approximation, par elements finis d’ordre un, et la résolution, par pénalisation-dualité, d’une classe de problèmes de Dirichlet non linéaires, Revue Française d’Automatique, Informatique et Recherche Opérationnelle, 9, 41–76.

    MATH  Google Scholar 

  • Hiriart-Urruty, J.-B. (1980), Lipschitz r-continuity of the Approximate Sub-differential of a Convex Function, Mathematica Scandinavica, 47, 123–134.

    MathSciNet  MATH  Google Scholar 

  • Kallenberg, L.C.M. (1983), Linear Programming and Finite Markovian Control Problems, Mathematical Center, Amsterdam, Holland (Chapter 6).

    MATH  Google Scholar 

  • Kim, S., H. Ahn and S.-C. Cho (1991). Variable Target Value Subgradient Method, Mathematical Programming, 49, 359–369.

    Article  MathSciNet  MATH  Google Scholar 

  • Kiwiel, K.C. (1985), Methods of Descent for Nondifferentiable Optimization, Lecture Notes in Mathematics, 1133, Springer-Verlag, Berlin.

    Google Scholar 

  • Lemaréchal, C., J.-J. Strodiot and A. Bihain (1981), On a Bundle Algorithm for Non Smooth Optimization, in Nonlinear Programming 4, O.L. Mangasarian, R.R. Meyer and S.M. Robinson eds., Academic Press, New York, 245–282.

    Google Scholar 

  • Minoux, M. (1983), Programmation mathématique, théorie et algorithmes, Dunod, Paris.

    MATH  Google Scholar 

  • Parthasarathy, T. and T.E.S. Raghavan (1981), An Orderfield Property for Stochastic Games when One Player Controls Transition Probabilities, Journal of Optimization Theory and Applications, 33, 375–392.

    Article  MathSciNet  MATH  Google Scholar 

  • Polyak, B.T. (1966), A General Method for Solving Extremum Problems, Soviet Mathematics, 8, 593–597.

    Google Scholar 

  • Rockafellar, R.T. (1970), Convex Analysis, Princeton University Press, Princeton.

    MATH  Google Scholar 

  • Shapley, L.S. (1953), Stochastic Games, Proceedings of the National Academy of Sciences of USA, 39, 1095–1100.

    Article  MathSciNet  MATH  Google Scholar 

  • Vrieze, O.J. (1981), Linear Programming and Undiscounted Games in Which One Player Controls Transitions, OR Spectrum, 3, 29–35.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media New York

About this paper

Cite this paper

Breton, M., Hachem, S.E. (1994). Algorithms for the Solution of a Large-Scale Single-Controller Stochastic Game. In: Başar, T., Haurie, A. (eds) Advances in Dynamic Games and Applications. Annals of the International Society of Dynamic Games, vol 1. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0245-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-0245-5_11

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6679-2

  • Online ISBN: 978-1-4612-0245-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics