Kurt Dresner

My main research interests lie in artificial intelligence, specifically in multiagent systems and machine learning. However, I am also interested in some theoretical computer science, including algorithms and complexity theory. My advisor is Peter Stone.

My thesis work focuses on the problem of Autonomous Intersection Management, which involves coordinating multiple embodied heterogeneous autonomous agents through an intersection as safely and efficiently as possible, in real time. I started the project in 2003, inspired by a long wait at a red light entirely devoid of cross-traffic.

I am also involved in the General Game Player project with Greg Kuhlmann and Peter Stone. The project seeks to create an agent that, given the rules of a game such as "Othello" or "Connect Four", can play and win at the game. Our agent competes with other agents as part of the larger General Game Playing Project at Stanford University.

In the past, I have worked with the UT Austin Villa RoboCup team, writing communication and coordination code for the Sony Aibo robots used in the four-legged league.

As an undergraduate at Harvey Mudd College, I created and analyzed algorithms for routing in optical networks under the direction of Ran Libeskind-Hadas.