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Poster
iLSTD: Convergence, Eligibility Traces, and Mountain Car
Alborz Geramifard · Michael Bowling · Martin A Zinkevich · Richard Sutton

Mon Dec 04 07:30 PM -- 12:00 AM (PST) @
in Poster Session »

Author Information

Alborz Geramifard (Meta)
Michael Bowling (DeepMind / University of Alberta)
Martin A Zinkevich (Yahoo! Inc.)
Richard Sutton (DeepMind, U Alberta)

Richard S. Sutton is a professor and iCORE chair in the department of computing science at the University of Alberta. He is a fellow of the Association for the Advancement of Artificial Intelligence and co-author of the textbook "Reinforcement Learning: An Introduction" from MIT Press. 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. He received a PhD in computer science from the University of Massachusetts in 1984 and a BA in psychology from Stanford University in 1978. Rich's research interests center 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.

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