Andrew Barto

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Andrew Gehret Barto (* around 1948) is an American computer scientist who deals with artificial intelligence and especially machine learning .

Barto studied mathematics at the University of Michigan with a bachelor's degree in 1970 and received his doctorate there in 1975 in computer science with Bernard Zeigler (Cellular Automotive as Models of Natural Systems). He is a professor at the University of Massachusetts at Amherst.

It deals with learning in biological systems and machines, with an interdisciplinary approach (psychology, neurosciences, biology). He dealt with various methods of reinforcement learning , such as temporal difference learning , when setting up autonomous agents.

In 2017 he received the IJCAI Award for Research Excellence . He is a Fellow of the American Association for the Advancement of Science and the IEEE . In 2004 he received the IEEE Neural Networks Society Pioneer Award.

Fonts (selection)

  • with Richard S. Sutton : Reinforcement learning. An introduction , MIT Press 1998
  • Editor with Jennie Si, Warren Powell, Donald Wunsch II: Handbook of Learning and Approximate Dynamic Programming , Wiley-IEEE Press, 2004

Web links

Individual evidence

  1. Andrew Barto in the Mathematics Genealogy Project (English)Template: MathGenealogyProject / Maintenance / id used