Experience
Education
Bio
His research interests involve sequential decision problems in general, in which one or several agents have to make repeated decisions about what to do, but he is also interested in applying machine learning to realistic problems in general. Specifically, he is currently working on sequential decision problems involving multiple agents, hierarchical representations of problems, combining the strengths of reinforcement learning and planning, learning decision trees for use in biomedical research, and analyzing the computational complexity of different classes of problems.