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Richard Sutton

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.

Awards

Fellow, Association for the Advancement of Artificial Intelligence

Books

R.S. Sutton and A.G. Barto, Reinforcement Learning: An Introduction, MIT Press 1998

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Appointment

Associate Fellow Learning in Machines & Brains

Institution

University of AlbertaDepartment of Computer Science

Education

PhD, Computer Science University of Massachusetts

BA, Psychology Stanford University

Country

Canada

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