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Andrew Barto

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[[FILE:Andy_Barto.gif|border|right|thumb|link=http://www.scholarpedia.org/article/User:Andrew_G._Barto] Andrew Barto
<ref>[http://www.scholarpedia.org/article/User:Andrew_G._Barto User:Andrew G. Barto - Scholarpedia]</ref> ]]

'''Andrew G. Barto''',<br/>
an American computer scientist, [[Artificial Intelligence|AI]]-researcher and Professor of Computer Science, [https://en.wikipedia.org/wiki/University_of_Massachusetts_Amherst University of Massachusetts], [https://en.wikipedia.org/wiki/Amherst,_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|reinforcement learning]] <ref>[http://www-all.cs.umass.edu/%7Ebarto/biosketch.html Barto biosketch]</ref> .

=Selected Publications=
<ref>[http://ilk.uvt.nl/icga/journal/docs/References.pdf ICGA Reference Database] (pdf)</ref> <ref>[https://dblp.uni-trier.de/pers/hd/b/Barto:Andrew_G= dblp: Andrew G. Barto]</ref>
==1980 ...==
* [[Richard Sutton]], [[Andrew Barto]] ('''1981'''). ''Toward a modern theory of adaptive networks: Expectation and prediction''. Psychological Review, Vol. 88, [https://pdfs.semanticscholar.org/6094/4c5243db70a687a320a2622d3bd1610802a8.pdf pdf]
* [[Andrew Barto]], [[Richard Sutton]], [https://dblp.uni-trier.de/pers/hd/w/Watkins:Christopher_J=_C=_H= Christopher J. C. H. Watkins] ('''1989'''). ''[https://papers.nips.cc/paper/194-sequential-decision-problems-and-neural-networks Sequential Decision Problems and Neural Networks]''. [https://dblp.uni-trier.de/db/conf/nips/nips1989.html NIPS 1989]
==1990 ...==
* [[Richard Sutton]], [[Andrew Barto]] ('''1990'''). ''Time-Derivative Models of Pavlovian Reinforcement''. in [http://node.realityspline.net/ari/work/neuro/people/showpeople.php?person=faculty/mgabriel.php Michael Gabriel], [http://people.umass.edu/jwmoore/people.htm#JWMoore John Moore] (eds.) ('''1990'''). ''Learning and Computational Neuroscience: Foundations of Adaptive Networks''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [http://dblp.uni-trier.de/pers/hd/y/Yee:Richard_C= Richard C. Yee], [http://dblp.uni-trier.de/pers/hd/s/Saxena:Sharad Sharad Saxena], [[Paul E. Utgoff]], [[Andrew Barto]] ('''1990'''). ''Explaining Temporal Differences to Create Useful Concepts for Evaluating States''. [http://dblp.uni-trier.de/db/conf/aaai/aaai90.html#YeeSUB90 AAAI 1990], [http://www.aaai.org/Papers/AAAI/1990/AAAI90-132.pdf pdf]
* [[Steven Bradtke]], [[Andrew Barto]] ('''1996''') ''Linear Least-Squares Algorithms for Temporal Difference Learning''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 22, Nos. 1/2/3, [http://www-anw.cs.umass.edu/pubs/1995_96/bradtke_b_ML96.pdf pdf]
* [[Richard Sutton]], [[Andrew Barto]] ('''1998'''). ''[http://incompleteideas.net/book/the-book.html Reinforcement Learning: An Introduction]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
==2000 ...==
* [[Andrew Barto]] ('''2007'''). ''[http://www.scholarpedia.org/article/Temporal_difference_learning Temporal difference learning]''. [https://en.wikipedia.org/wiki/Scholarpedia Scholarpedia] 2(11):1604
==2010 ...==
* [[Andrew Barto]] ('''2010'''). ''Adaptive Real-Time Dynamic Programming''. Encyclopedia of Machine Learning 2010, Springer
* [[Andrew Barto]] ('''2017'''). ''Adaptive Real-Time Dynamic Programming''. [https://link.springer.com/referencework/10.1007%2F978-1-4899-7687-1 Encyclopedia of Machine Learning and Data Mining 2017], [https://en.wikipedia.org/wiki/Springer_Science%2BBusiness_Media Springer]

=External Links=
* [https://en.wikipedia.org/wiki/Andrew_Barto Andrew Barto from Wikipedia]
* [https://www.linkedin.com/in/andrew-barto-915a9813/ Andrew Barto | LinkedIn]
* [http://www-all.cs.umass.edu/%7Ebarto/ Andrew G. Barto, Department of Computer Science, University of Massachusetts Amherst]
* [https://genealogy.math.ndsu.nodak.edu/id.php?id=39052 The Mathematics Genealogy Project - Andrew Barto]

=References=
<references />

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