This book discusses stochastic game theory and related concepts. Topics focused upon in the book include matrix games, finite, infinite, and undiscounted stochastic games, n-player cooperative games, minimax theorem, and more. In addition to important definitions and theorems, the book provides readers with a range of problem-solving techniques and exercises. This book is of value to graduate students and readers of probability and statistics alike
The player's payoff in stochastic games is a stochastic variable. In most studies, predicted payout ...
In Contributions to game theory and management, vol. XI. Collected papers presented on the Eleventh ...
Let X be a set of outcomes among which a set of N players, each having a preference relation on X, m...
Notes on nine lectures delivered at Sandin Corporation in August 1957 are given. Part one contains t...
Cahier de Recherche du Groupe HEC Paris, n° 743This chapter presents developments in the theory of s...
This survey provides an extensive account of research in economics based on the stochastic games par...
In this work deals with stochastic graphs and their applications in games. Topic deliver anyone who ...
Editors: Leon Petrosjan and Vladimir V. Mazalov Book Description: This book brings together pape...
In this paper we discuss the main existence results on optimality and equilibria in two-person stoch...
Cooperative game theory is a mathematical tool to analyze situations involving several individuals w...
The existence of the value for stochastic games with finitely many states and actions, as well as fo...
Zero-sum stochastic games generalize the notion of Markov Decision Processes (i.e. controlled Markov...
International audienceWe propose a connection between finite zero-sum stochastic games (henceforth s...
We study extremals for multidimensional stochastic matrices. Some related results are also considere...
The player's payoff in stochastic games is a stochastic variable. In most studies, predicted payout ...
The player's payoff in stochastic games is a stochastic variable. In most studies, predicted payout ...
In Contributions to game theory and management, vol. XI. Collected papers presented on the Eleventh ...
Let X be a set of outcomes among which a set of N players, each having a preference relation on X, m...
Notes on nine lectures delivered at Sandin Corporation in August 1957 are given. Part one contains t...
Cahier de Recherche du Groupe HEC Paris, n° 743This chapter presents developments in the theory of s...
This survey provides an extensive account of research in economics based on the stochastic games par...
In this work deals with stochastic graphs and their applications in games. Topic deliver anyone who ...
Editors: Leon Petrosjan and Vladimir V. Mazalov Book Description: This book brings together pape...
In this paper we discuss the main existence results on optimality and equilibria in two-person stoch...
Cooperative game theory is a mathematical tool to analyze situations involving several individuals w...
The existence of the value for stochastic games with finitely many states and actions, as well as fo...
Zero-sum stochastic games generalize the notion of Markov Decision Processes (i.e. controlled Markov...
International audienceWe propose a connection between finite zero-sum stochastic games (henceforth s...
We study extremals for multidimensional stochastic matrices. Some related results are also considere...
The player's payoff in stochastic games is a stochastic variable. In most studies, predicted payout ...
The player's payoff in stochastic games is a stochastic variable. In most studies, predicted payout ...
In Contributions to game theory and management, vol. XI. Collected papers presented on the Eleventh ...
Let X be a set of outcomes among which a set of N players, each having a preference relation on X, m...