Andrew G. Barto,
an American computer scientist, AI-researcher and Professor of Computer Science, University of Massachusetts, Amherst. His research centers on learning in natural and artificial systems, and he has studied machine learning algorithms since 1977, contributing to the development of the computational theory and practice of reinforcement learning^{[1]} .

Richard Sutton, Andrew Barto (1981). Toward a modern theory of adaptive networks: Expectation and prediction, Psychological Review, Vol. 88, pp. 135-170. pdf

Home * People * Andrew BartoAndrew G. Barto,an American computer scientist, AI-researcher and Professor of Computer Science, University of Massachusetts, Amherst. His research centers on learning in natural and artificial systems, and he has studied machine learning algorithms since 1977, contributing to the development of the computational theory and practice of reinforcement learning

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## Selected Publications

^{[4]}^{[5]}^{[6]}^{[7]}1981).Toward a modern theory of adaptive networks: Expectation and prediction, Psychological Review, Vol. 88, pp. 135-170. pdf1990).Time-Derivative Models of Pavlovian Reinforcement. in Michael Gabriel, John Moore (eds.) (1990).Learning and Computational Neuroscience: Foundations of Adaptive Networks. MIT Press, pdf1990).Explaining Temporal Differences to Create Useful Concepts for Evaluating States. AAAI 1990, pdf1996)Linear Least-Squares Algorithms for Temporal Difference Learning. Machine Learning, Vol. 22, Nos. 1/2/3, pdf1998).Reinforcement Learning: An Introduction. MIT Press## External Links

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