Rich Sutton, Ph.D. is currently professor of Computer Science, iCORE chair at the University of Alberta, and a Distinguished Research Scientist at DeepMind. He is one of the founding fathers of Reinforcement Learning (RL), an increasingly important part of Machine Learning and AI. His significant contributions to RL include temporal difference learning and policy gradient methods. He is the author of a widely acclaimed book (with Andrew Barto) "Reinforcement Learning, an introduction" - cited over 25,000 times, with 2nd edition coming soon.
He received BA in Psychology from Stanford (1978) and MS (1980) and PhD (1984) in Computer science from U. of Massachusetts at Amherst. His doctoral dissertation was entitled "Temporal Credit Assignment in Reinforcement Learning", where he introduced actor-critic architectures and "temporal credit assignment".
From 1985 to 1994 Sutton was a Principal Member of Technical Staff at GTE Laboratories. He then spent 3 years at UMass Amherst as a Senior Research Scientist, and after that 5 years at the AT&T Shannon Laboratory as Principal Technical Staff Member. Since 2003 he is Professor and iCORE Chair in the Dept. of Computing Science at the University of Alberta, where he leads the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI). Starting June 2017, Sutton also co-leads a new Alberta office of DeepMind.
Rich also keeps a blog/personal page at incompleteideas.net
Richard S. Sutton5.jpg
He received BA in Psychology from Stanford (1978) and MS (1980) and PhD (1984) in Computer science from U. of Massachusetts at Amherst. His doctoral dissertation was entitled "Temporal Credit Assignment in Reinforcement Learning", where he introduced actor-critic architectures and "temporal credit assignment".
From 1985 to 1994 Sutton was a Principal Member of Technical Staff at GTE Laboratories. He then spent 3 years at UMass Amherst as a Senior Research Scientist, and after that 5 years at the AT&T Shannon Laboratory as Principal Technical Staff Member. Since 2003 he is Professor and iCORE Chair in the Dept. of Computing Science at the University of Alberta, where he leads the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI). Starting June 2017, Sutton also co-leads a new Alberta office of DeepMind.
Rich also keeps a blog/personal page at incompleteideas.net
Richard S. Sutton5.jpg