Graduate Student Colloquium
Matthew Bourque
UIC
Policy Improvement for Stochastic Games
Abstract: Policy improvement is a well known and popular algorithm for solving Markov decision processes. It has been extended to solve some classes of discounted stochastic games. I will discuss the extension of policy improvement to solve average-payoff stochastic games with additive rewards and additive transitions.
Monday April 29, 2013 at 4:15 PM in SEO 636