Overcoming the Curse
of Dimensionality with Reinforcement Learning
Dr. Richard S. Sutton
AT&T
Shannon Labs
Richard
S. Sutton received the B.A. degree in psychology from Stanford University
in 1978 and the M.S. and Ph.D. degrees in Computer Science from the University
of Massachusetts in 1980 and 1984. He then worked for nine years at GTE Laboratories
in Waltham as principal investigator of their connectionist machine learning
project, and for three years at the University of Massachusetts in Amherst
as a research scientist in the computer science department, where he continues
as an adjunct faculty member. In 1998 he joined AT&T Shannon Labs. Richard
Sutton's research interests center on the learning problems facing a decision-maker
interacting with its environment. He is the author of the original paper on
temporal-difference learning and, with Andrew Barto, of the textbook Reinforcement
Learning: An Introduction. He is often identified as a founder of the field
of reinforcement learning. He is also interested in animal learning psychology,
neural networks, and systems that continually improve their representations
and models of the world.