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University of Minnesota
School of Statistics
Next: Spring 2000 Up: Fall 1999 Previous: November 18: Richard Tweedie,

December 2: Piercesare Secchi, Politecnico di Milano

UNIVERSITY OF MINNESOTA
SEMINAR
School of Statistics
College of Liberal Arts

Optimal Strategies For Two-Person, Zero-Sum Stochastic Games.

Piercesare Secchi
Politecnico di Milano
Milan, Italy

Thursday, December 2, 1999
4:00-5:00 PM, Room B25 Classroom Office Building, St. Paul
Social at 3:30 PM in Room 354 Classroom Office Building

Abstract
A two-person, zero-sum stochastic game is a competition between two players with opposite interests who aim at controlling a stochastic process {Xn} on a state space S. At each stage of the game each player chooses an action from a given set; the two actions and the current state Xn of the game determine the distribution of the next state Xn + 1. The payoff of the game is a function of the sequence of states visited by the process {Xn}.

After a short introduction to the theory of stochastic games along the lines of Maitra and Sudderth (1996), I will consider the problem regarding the determination of optimal or nearly optimal strategies for playing such games. In particular, I will focus on stationary strategies, that is those which, at each stage of the game, forget the past history of it and choose an action as a function only of the current state of the game.


next up previous
University of Minnesota
School of Statistics
Next: Spring 2000 Up: Fall 1999 Previous: November 18: Richard Tweedie,
Luke Tierney
2000-04-24