Andrew Barto

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Richard S. SuttonKeen, Amii, and University of AlbertaVerified email at richsutton.com
George KonidarisBrownVerified email at cs.brown.edu
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.Verified email at colostate.edu
Roderic GrupenUniversity of MassachusettsVerified email at cs.umass.edu
Scott KuindersmaSenior Director of Robotics Research at Boston DynamicsVerified email at seas.harvard.edu
Andrew FaggUniversity of OklahomaVerified email at cs.ou.edu
Scott NiekumAssociate Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Özgür ŞimşekProfessor of Artificial Intelligence, University of BathVerified email at bath.ac.uk
Steven BradtkeResearch Engineer, Vistronix, Inc.Verified email at asrcfederal.com
Sridhar MahadevanDirector, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, National Research CouncilVerified email at istc.cnr.it
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganVerified email at umich.edu
Theodore J. PerkinsOttawa Hospital Research InstituteVerified email at ohri.ca
Amy McGovernUniversity of OklahomaVerified email at ou.edu
Balaraman RavindranProfessor of Data Science and AI, Wadhwani School of Data Science and AI, IIT MadrasVerified email at dsai.iitm.ac.in
Sarah OsentoskiVinci4dVerified email at vinci4d.ai
Marco MirolliSenior Researcher, Istituto di Scienze e Tecnologie della Cognizione, CNR, ItalyVerified email at istc.cnr.it
Nuttapong ChentanezNVIDIA, Chulalongkorn UniversityVerified email at eecs.berkeley.edu
Alicia WolfePostdoc, Wesleyan UniversityVerified email at wesleyan.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonVerified email at google.com

Andrew Barto

University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Reinforcement learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Reinforcement learning: An introduction RS Sutton, AG Barto MIT press 1 (1), 9-11, 1998	80470	1998
Neuronlike adaptive elements that can solve difficult learning control problems AG Barto, RS Sutton, CW Anderson IEEE transactions on systems, man, and cybernetics, 834-846, 1983	5306	1983
Toward a modern theory of adaptive networks: expectation and prediction. RS Sutton, AG Barto Psychological review 88 (2), 135, 1981	1905	1981
Recent advances in hierarchical reinforcement learning AG Barto, S Mahadevan Discrete event dynamic systems 13, 341-379, 2003	1738	2003
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1706	1995
Introduction to reinforcement learning, vol. 135 RS Sutton, AG Barto MIT press Cambridge 5, 21-22, 1998	1197	1998
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	1091	2004
Linear least-squares algorithms for temporal difference learning SJ Bradtke, AG Barto Machine learning 22 (1), 33-57, 1996	1043	1996
Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004	1004	2004
Improving elevator performance using reinforcement learning R Crites, A Barto Advances in neural information processing systems 8, 1995	915	1995
Reinforcement learning is direct adaptive optimal control RS Sutton, AG Barto, RJ Williams IEEE control systems magazine 12 (2), 19-22, 1992	857	1992
Time-derivative models of Pavlovian reinforcement RS Sutton, AG Barto Learning and computational neuroscience: Foundations of adaptive networks, 1988	818	1988
Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks RA Jacobs, MI Jordan, AG Barto Cognitive science 15 (2), 219-250, 1991	816	1991
Reinforcement learning: An introduction. by richard’s sutton AG Barto SIAM Rev 6 (2), 423, 2021	792	2021
1" 1 adaptive critics and the basal ganglia,” AG Barto Models of information processing in the basal ganglia 215, 1995	748	1995
Reinforcement learning: an introduction MIT Press RS Sutton, AG Barto Cambridge, MA 22447 (10), 1998	696	1998
Learning and sequential decision making AG Barto, RS Sutton, C Watkins University of Massachusetts, 1989	676	1989
Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto ICML 1, 361-368, 2001	669	2001
Intrinsically motivated reinforcement learning: An evolutionary perspective S Singh, RL Lewis, AG Barto, J Sorg IEEE Transactions on Autonomous Mental Development 2 (2), 70-82, 2010	601	2010
Intrinsically motivated learning of hierarchical collections of skills AG Barto, S Singh, N Chentanez Proceedings of the 3rd International Conference on Development and Learning …, 2004	591	2004

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