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, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
Theodore J. PerkinsOttawa Hospital Research InstituteVerified email at ohri.ca
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganVerified email at umich.edu
Amy McGovernUniversity of OklahomaVerified email at ou.edu
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, Italian National ResearchVerified email at istc.cnr.it
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasVerified email at cse.iitm.ac.in
Sarah OsentoskiVinci4dVerified email at vinci4d.ai
Marco MirolliResearcher, 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, 2018	70036	2018
Introduction to reinforcement learning D Ernst, A Louette	5758	2024
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	5009	1983
Toward a modern theory of adaptive networks: expectation and prediction. RS Sutton, AG Barto Psychological review 88 (2), 135, 1981	1827	1981
Recent advances in hierarchical reinforcement learning AG Barto, S Mahadevan Discrete event dynamic systems 13, 341-379, 2003	1692	2003
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1642	1995
Introduction to reinforcement learning. Vol. 135 RS Sutton, AG Barto MIT press Cambridge 5, 21-22, 1998	1081	1998
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	1016	2004
Linear least-squares algorithms for temporal difference learning SJ Bradtke, AG Barto Machine learning 22 (1), 33-57, 1996	986	1996
Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004	967	2004
Improving elevator performance using reinforcement learning R Crites, A Barto Advances in neural information processing systems 8, 1995	895	1995
A model of how the basal ganglia generate and use neural signals that predict reinforcement JC Houk, JL Adams, AG Barto	873	1994
Reinforcement learning is direct adaptive optimal control RS Sutton, AG Barto, RJ Williams IEEE control systems magazine 12 (2), 19-22, 1992	809	1992
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	794	1991
Time-derivative models of pavlovian reinforcement. RS Sutton, AG Barto The MIT Press, 1990	790	1990
Reinforcement learning: An introduction by Richards’ Sutton AG Barto SIAM Rev 6 (2), 423, 2021	744	2021
Adaptive critics and the basal ganglia AG Barto	730	1994
Learning and sequential decision making AG Barto, RS Sutton, C Watkins University of Massachusetts, 1989	657	1989
Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto	641	2001
Adaptive control of duty cycling in energy-harvesting wireless sensor networks CM Vigorito, D Ganesan, AG Barto 2007 4th Annual IEEE communications society conference on sensor, mesh and …, 2007	569	2007

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