Andrew G. Barto
Affiliations: | University of Massachusetts, Amherst, Amherst, MA |
Area:
Reinforcement LearningWebsite:
https://people.cs.umass.edu/~barto/Google:
"Andrew Gehret Barto" OR "Andrew G. Barto"Bio:
https://scholar.google.com/citations?user=CMIgrCgAAAAJ&hl=en
https://www.proquest.com/openview/1bc1ee46255d37f5786c9e91d872033e/1?
Andrew Barto is Professor of Computer Science, University of Massachusetts, Amherst. He received his B.S. with distinction in mathematics from the University of Michigan in 1970, and his Ph.D. in Computer Science in 1975, also from the University of Michigan. He joined the Computer Science Department of the University of Massachusetts Amherst in 1977 as a Postdoctoral Research Associate, became an Associate Professor in 1982, and has been a Full Professor since 1991.
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Mean distance: 14.56 (cluster 29)
Cross-listing: MathTree
Parents
Sign in to add mentor| Bernard Phillip Zeigler | grad student | 1975 | University of Michigan (Computer Science Tree) | |
| (Cellular automata as models of natural systems) | ||||
Children
Sign in to add trainee| Bruno C. da Silva | grad student | ||
| Robert Jacobs | grad student | Rochester | |
| Yariv Z. Levy | grad student | U Mass Amherst | |
| Richard S. Sutton | grad student | U Mass Amherst | |
| Charles Anderson | grad student | 1986 | UMass Amhest |
| Michael O. Duff | grad student | 2002 | U Mass Amherst |
| Amy McGovern | grad student | 2002 | U Mass Amherst (Computer Science Tree) |
| Theodore J. Perkins | grad student | 2002 | U Mass Amherst |
| Michael T. Rosenstein | grad student | 2003 | U Mass Amherst |
| Balaraman Ravindran | grad student | 2004 | U Mass Amherst |
| Thomas F. Kalt | grad student | 2005 | U Mass Amherst |
| Ashvin Shah | grad student | 2008 | U Mass Amherst |
| Ozgur Simsek | grad student | 2008 | U Mass Amherst |
| Alicia P. Wolfe | grad student | 2010 | U Mass Amherst |
| George D. Konidaris | grad student | 2011 | U Mass Amherst |
| Scott R. Kuindersma | grad student | 2012 | U Mass Amherst |
| Scott D. Niekum | grad student | 2013 | U Mass Amherst |
Publications
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| Santucci VG, Oudeyer PY, Barto A, et al. (2019) Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. Frontiers in Neurorobotics. 13: 115 |
| Thomas PS, Castro da Silva B, Barto AG, et al. (2019) Preventing undesirable behavior of intelligent machines. Science (New York, N.Y.). 366: 999-1004 |
| Barto AG. (2019) Reinforcement Learning: Connections, Surprises, and Challenge Ai Magazine. 40: 3-15 |
| Frankenhuis WE, Panchanathan K, Barto AG. (2018) Enriching Behavioral Ecology with Reinforcement Learning Methods. Behavioural Processes |
| Niekum S, Osentoski S, Konidaris G, et al. (2015) Learning grounded finite-state representations from unstructured demonstrations International Journal of Robotics Research. 34: 131-157 |
| Niekum S, Osentoski S, Atkeson CG, et al. (2015) Online Bayesian changepoint detection for articulated motion models Proceedings - Ieee International Conference On Robotics and Automation. 2015: 1468-1475 |
| Botvinick M, Weinstein A, Solway A, et al. (2015) Reinforcement learning, efficient coding, and the statistics of natural tasks Current Opinion in Behavioral Sciences. 5: 71-77 |
| Baldassarre G, Stafford T, Mirolli M, et al. (2014) Intrinsic motivations and open-ended development in animals, humans, and robots: an overview. Frontiers in Psychology. 5: 985 |
| Da Silva BC, Baldassarre G, Konidaris G, et al. (2014) Learning parameterized motor skills on a humanoid robot Proceedings - Ieee International Conference On Robotics and Automation. 5239-5244 |
| Da Silva BC, Konidaris G, Barto A. (2014) Active learning of parameterized skills 31st International Conference On Machine Learning, Icml 2014. 5: 3736-3745 |