Marc Lanctot

I am a research scientist at Google DeepMind. Previously, I was a post-doctoral researcher at the Maastricht University Games and AI Group, working with Mark Winands. During my PhD, I worked at University of Alberta with Michael Bowling on sampling algorithms for equilibrium computation and decision-making in games. You can read all about it in my thesis. Before my PhD, I did an undergrad and Master's at McGill University's School of Computer Science and Games Research @ McGill, under the supervision of Clark Verbrugge. I am interested in general multiagent learning (and planning), computational game theory, reinforcement learning, and game-tree search.