Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1142308 | Operations Research Letters | 2015 | 7 Pages |
Abstract
We consider a two-person zero-sum continuous-time Markov game GG with denumerable state space, Borel action spaces, unbounded payoff and transition rates, under the long-run expected average payoff criterion. To approximate numerically the value of GG we construct finite state and actions game models GnGn whose value functions converge to the value of GG. Rates of convergence are given. We propose a policy iteration algorithm for the finite state and actions games GnGn. We show an application to a population system.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Discrete Mathematics and Combinatorics
Authors
José María Lorenzo, Ismael Hernández-Noriega, Tomás Prieto-Rumeau,