rich sutton head (Evolutionary
            Portrait Art by Günter Bachelier)

Richard S. Sutton, FRS FRSC

Research Scientist, Keen Technologies
Professor,
Department of Computing Science, University of Alberta
Principal Investigator, Reinforcement Learning and Artificial Intelligence Lab
Chief Scientific Advisor, Alberta Machine Intelligence Institute (Amii)
Senior Fellow, CIFAR
Founder, Openmind Research Institute

Department of Computing Science
3-13 Athabasca Hall
Edmonton, Alberta
Canada T6G 2E8
email rsutton@ualberta.ca or rich@richsutton.com
web http://richsutton.com
X/twitter @RichardSSutton
ens RichSutton.eth

I am seeking to identify general computational principles underlying what we mean by intelligence and goal-directed behavior. I start with the interaction between the intelligent agent and its environment. Goals, choices, and sources of information are all defined in terms of this interaction. In some sense it is the only thing that is real, and from it all our sense of the world is created. How is this done? How can interaction lead to better behavior, better perception, better models of the world? What are the computational issues in doing this efficiently and in realtime? These are the sort of questions that I ask in trying to understand what it means to be intelligent, to predict and influence the world, to learn, perceive, act, and think.