Last edited by Dolmaran
Saturday, February 8, 2020 | History

2 edition of Stochastic games with finite state and action spaces found in the catalog.

Stochastic games with finite state and action spaces

O. J. Vrieze

Stochastic games with finite state and action spaces

  • 168 Want to read
  • 24 Currently reading

Published by Centrum voor Wiskunde en Informatica in [Amsterdam, the Netherlands] .
Written in English

    Subjects:
  • Stochastic processes.,
  • Game theory.

  • Edition Notes

    StatementO.J. Vrieze.
    SeriesCWI tract -- 33.
    The Physical Object
    Pagination221 p. :
    Number of Pages221
    ID Numbers
    Open LibraryOL14279880M
    ISBN 109061963133

    Main article: Learning automata Another application of MDP process in machine learning theory is called learning automata. Energy Harvesting Channels. Stochastic maximum principle for non-zero sum differential games of FBSDEs with impulse controls and its application to finance. XI,

    Algorithms for solving multiobjective discrete control problems and dynamic c-games on networks. NowakOn the optimality equation for zero-sum ergodic stochastic games, Math. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation. Algorithms for solving discrete optimal control problems with infinite time horizon and dtermining minimal mean cost cycles in a directed graph as decision support tool. Time-inconsistent recursive zero-sum stochastic differential games.

    We formulate the problem as a stochastic game with a finite state and action space and obtain the structure of the equilibria policy under a linear structure of the dissemination utility as well as on the advertisement costs. Turnpike properties of approximate solutions of dynamic discrete time zero-sum games. Google Scholar [12] E. Crossref Sparse and constrained stochastic predictive control for networked systems. Crossref The average cost of Markov chains subject to total variation distance uncertainty. Discrete optimization, algorithms analysis and design, game theory, optimal control Important publications Stationary Nash equilibria for average stochastic positional games.


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Stochastic games with finite state and action spaces by O. J. Vrieze Download PDF Ebook

Journal of Applied Probability Crossref Approximation of constrained average cost Marks. The content provider gives preferential treatment to individuals who pay for advertisement. Crossref Randy Cogill and Cheng Peng. Mathematics of Control, Signals, and Systems Crossref Stationary policies for lower bounds on the minimum average cost of discrete-time nonlinear control systems.

Crossref Long-time average cost control of stochastic systems using sum of squares of polynomials. We then consider open loop control no state information and solve the game using a transformation into a differential game with a compact state space.

Handbook of Dynamic Game Theory, A constructive algorithm for max-min path problem on energy networks. Google Scholar [17] Google Scholar [18] S.

Operations Research Journal of Computing Anticipatory Systems, v.

Stochastic Games with Finite State and Action Spaces

Crossref Discounted approximations to the risk-sensitive average cost in finite Markov chains. Browder, Nonlinear operators and nonlinear equations of evolution in Banach spaces, Nonlinear functional analysis Proc.

Stochastic games with information lag

Stochastic games with finite state and action spaces book The feedback capacity of the binary symmetric channel with a no-consecutive-ones input constraint. Journal of Optimization Theory and Applications Discrete control and algorithms for solving antagonistic dynamic games on networks.

Google Scholar [13] B. At the same time, it allowed individuals to use the Internet in order to distribute content. KohlbergThe asymptotic theory of stochastic games, Math. Google Scholar [19] M. Makino, A pumping algorithm for ergodic stochastic mean payoff games with perfect information, in Integer Programming and Combinatorial Optimization, vol.

More services and features. Please note that corrections may take a couple of weeks to filter through the various RePEc services. Springer, Crossref Cloud computing service composition: A systematic literature review.

Crossref Zero-rate achievability of posterior matching schemes for channels with memory. Models of Search and Decision Making. Turnpike properties of approximate solutions of dynamic discrete time zero-sum games.

We formulate the problem as a stochastic game with a finite state and action space and obtain the structure of the equilibria policy under a linear structure of the dissemination utility as well as on the advertisement costs. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

Kemeny and J.A basic issue is to understand for which classes of games the bias vector is unique (up to an additive constant). In this paper, we consider perfect-information zero-sum stochastic games with finite state and action spaces, thinking of the transition payments Cited by: 1.

This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs.

Unlike the single controller case considered in many other books, the author considers a single controller with several objectives, such as minimizing delays and loss, probabilities, and maximization of.

Zero-Sum Stochastic Games with Borel State Spaces. Pages Nowak, Andrzej S.

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Preview Buy Chapter 30,19 € N—Person Stochastic Games: Extensions of the Finite State Space Case and Correlation. Pages Services for this Book. Download .Approximate Nash Equilibria in Partially Pdf Stochastic Games with Mean-Field Interactions. CoRR abs/ Finite state approximations of Markov decision processes with general state and action spaces.

Asymptotic Optimality of Finite Approximations to Markov Decision Processes with General State and Action Spaces. CoRR abs.An Approach for Determining the Optimal Strategies for an Average Markov Decision Problem with Finite State and Action Spaces; Stationary Nash Equilibria for Average Stochastic Games with Finite State and Action Spaces; Algorithms for solving stochastic discrete optimal control problems on networks.An Approach for Determining the Optimal Strategies for an Average Markov Ebook Problem with Finite State and Action Spaces; Stationary Nash Equilibria for Average Stochastic Games with Finite State and Action Spaces; Algorithms for solving stochastic discrete optimal control problems on networks.