JONSSON, PER ANDERS
Anders Jonsson is a Lecturer at our Department working in artificial intelligent planning and machine learning. He received his Ph.D. in computer science in 2005 from the University of Massachusetts Amherst, working in reinforcement learning under the supervision of professor Andrew Barto. 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, temporal planning in which actions have a duration, 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. He has authored 30 publications including peer-reviewed conference papers and journal papers.