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Derman’s book as inspiration: some results on LP for MDPs

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  • Lodewijk Kallenberg

Abstract

In 1976 I was looking for a suitable subject for my PhD thesis. My thesis advisor Arie Hordijk and I found a lot of inspiration in Derman’s book (Finite state Markovian decision processes, Academic Press, New York, 1970 ). Since that time I was interested in linear programming methods for Markov decision processes. In this article I will describe some results in this area on the following topics: (1) MDPs with the average reward criterion; (2) additional constraints; (3) applications. These topics are the main elements of Derman’s book. Copyright The Author(s) 2013

Suggested Citation

  • Lodewijk Kallenberg, 2013. "Derman’s book as inspiration: some results on LP for MDPs," Annals of Operations Research, Springer, vol. 208(1), pages 63-94, September.
  • Handle: RePEc:spr:annopr:v:208:y:2013:i:1:p:63-94:10.1007/s10479-011-1047-4
    DOI: 10.1007/s10479-011-1047-4
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    References listed on IDEAS

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    1. Eric V. Denardo, 1970. "On Linear Programming in a Markov Decision Problem," Management Science, INFORMS, vol. 16(5), pages 281-288, January.
    2. Alan S. Manne, 1960. "Linear Programming and Sequential Decisions," Management Science, INFORMS, vol. 6(3), pages 259-267, April.
    3. Harvey M. Wagner & John S. C. Yuan, 1968. "Algorithmic Equivalence in Linear Fractional Programming," Management Science, INFORMS, vol. 14(5), pages 301-306, January.
    4. A. Hordijk & L. C. M. Kallenberg, 1979. "Linear Programming and Markov Decision Chains," Management Science, INFORMS, vol. 25(4), pages 352-362, April.
    5. Cyrus Derman, 1962. "On Sequential Decisions and Markov Chains," Management Science, INFORMS, vol. 9(1), pages 16-24, October.
    6. Yih Ren Chen & Michael N. Katehakis, 1986. "Linear Programming for Finite State Multi-Armed Bandit Problems," Mathematics of Operations Research, INFORMS, vol. 11(1), pages 180-183, February.
    7. Morton Klein, 1962. "Inspection--Maintenance--Replacement Schedules Under Markovian Deterioration," Management Science, INFORMS, vol. 9(1), pages 25-32, October.
    8. Michael N. Katehakis & Arthur F. Veinott, 1987. "The Multi-Armed Bandit Problem: Decomposition and Computation," Mathematics of Operations Research, INFORMS, vol. 12(2), pages 262-268, May.
    9. A. Hordijk & L. C. M. Kallenberg, 1984. "Constrained Undiscounted Stochastic Dynamic Programming," Mathematics of Operations Research, INFORMS, vol. 9(2), pages 276-289, May.
    10. Eric V. Denardo, 1968. "Separable Markovian Decision Problems," Management Science, INFORMS, vol. 14(7), pages 451-462, March.
    11. DE GHELLINCK, Guy T. & EPPEN, Gary D., 1967. "Linear programming solutions for separable Markovian decision problems," LIDAM Reprints CORE 6, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Guy T. de Ghellinck & Gary D. Eppen, 1967. "Linear Programming Solutions for Separable Markovian Decision Problems," Management Science, INFORMS, vol. 13(5), pages 371-394, January.
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    1. Nandyala Hemachandra & Kamma Sri Naga Rajesh & Mohd. Abdul Qavi, 2016. "A model for equilibrium in some service-provider user-set interactions," Annals of Operations Research, Springer, vol. 243(1), pages 95-115, August.

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