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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
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: Spring 2000
Up: Fall 1999
Previous: November 18: Richard Tweedie,
Luke Tierney
2000-04-24