Competitive Markov Decision Processes

Häftad, Engelska, 2011

AvJerzy Filar,Koos Vrieze

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Since Markov decision processes can be viewed as a special noncompeti tive case of stochastic games, we introduce the new terminology Competi tive Markov Decision Processes that emphasizes the importance of the link between these two topics and of the properties of the underlying Markov processes.

Produktinformation

Utgivningsdatum2011-09-17
Mått155 x 235 x 23 mm
Vikt616 g
FormatHäftad
SpråkEngelska
Antal sidor394
FörlagSpringer-Verlag New York Inc.
ISBN9781461284819

Tillhör följande kategorier

1 Introduction.- 1.0 Background.- 1.1 Raison d’Etre and Limitations.- 1.2 A Menu of Courses and Prerequisites.- 1.3 For the Cognoscenti.- 1.4 Style and Nomenclature.- I Mathematical Programming Perspective.- 2 Markov Decision Processes: The Noncompetitive Case.- 3 Stochastic Games via Mathematical Programming.- II Existence, Structure and Applications.- 4 Summable Stochastic Games.- 5 Average Reward Stochastic Games.- 6 Applications and Special Classes of Stochastic Games.- Appendix G Matrix and Bimatrix Games and Mathematical Programming.- G.1 Introduction.- G.2 Matrix Game.- G.3 Linear Programming.- G.4 Bimatrix Games.- G.5 Mangasarian-Stone Algorithm for Bimatrix Games.- G.6 Bibliographic Notes.- Appendix H A Theorem of Hardy and Littlewood.- H.1 Introduction.- H.2 Preliminaries, Results and Examples.- H.3 Proof of the Hardy-Littlewood Theorem.- Appendix M Markov Chains.- M.1 Introduction.- M.2 Stochastic Matrix.- M.3 Invariant Distribution.- M.4 Limit Discounting.- M.5 The Fundamental Matrix.- M.6 Bibliographic Notes.- Appendix P Complex Varieties and the Limit Discount Equation.- P.1 Background.- P.2 Limit Discount Equation as a Set of Simultaneous Polynomials.- P.3 Algebraic and Analytic Varieties.- P.4 Solution of the Limit Discount Equation via Analytic Varieties.- References.