Richard S. Sutton’s research interests centre on the learning problems facing a decision-maker interacting with its environment, which he sees as central to artificial intelligence. He is also interested in animal learning psychology, in connectionist networks, and generally in systems that continually improve their representations and models of the world. Before joining the University of Alberta in 2003, he worked in industry at AT&T and GTE Labs, and in academia at the University of Massachusetts.
Fellow, Association for the Advancement of Artificial Intelligence
R.S. Sutton and A.G. Barto, Reinforcement Learning: An Introduction, MIT Press 1998
Associate Fellow Learning in Machines & Brains
University of AlbertaDepartment of Computer Science
PhD, Computer Science University of Massachusetts
BA, Psychology Stanford University
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