Andrew Barto

From Wikipedia, the free encyclopedia

Andrew Barto is a professor of Computer science at University of Massachusetts, Amherst. His main research area is reinforcement learning. Professor Barto is a Fellow of the American Association for the Advancement of Science, a Fellow and Senior Member of the IEEE, and a member of the American Association for Artificial Intelligence and the Society for Neuroscience. He received the 2004 IEEE Neural Network Society Pioneer Award for contributions to the field of reinforcement learning.^[1] He has published over one hundred papers or chapters in journals, books, and conference and workshop proceedings. He is co-author with Richard Sutton of the book "Reinforcement Learning: An Introduction," MIT Press 1998, and co-editor with Jennie Si, Warren Powell, and Don Wunch II of the "Handbook of Learning and Approximate Dynamic Programming," Wiley-IEEE Press, 2004. ^[2]

[edit] References

1. ^ http://www.cs.umass.edu/csinfo/announce/barto_pioneer.html
2. ^ http://www.cs.umass.edu/csinfo/faculty-bios/barto.html