Andrew Barto

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Richard S. SuttonKeen, Amii, and University of AlbertaAdresse e-mail validée de richsutton.com
George KonidarisBrownAdresse e-mail validée de cs.brown.edu
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.Adresse e-mail validée de colostate.edu
Roderic GrupenUniversity of MassachusettsAdresse e-mail validée de cs.umass.edu
Scott KuindersmaSenior Director of Robotics Research at Boston DynamicsAdresse e-mail validée de seas.harvard.edu
Andrew FaggUniversity of OklahomaAdresse e-mail validée de cs.ou.edu
Scott NiekumAssociate Professor, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Özgür ŞimşekProfessor of Artificial Intelligence, University of BathAdresse e-mail validée de bath.ac.uk
Steven BradtkeResearch Engineer, Vistronix, Inc.Adresse e-mail validée de asrcfederal.com
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstAdresse e-mail validée de cs.umass.edu
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, National Research CouncilAdresse e-mail validée de istc.cnr.it
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganAdresse e-mail validée de umich.edu
Theodore J. PerkinsOttawa Hospital Research InstituteAdresse e-mail validée de ohri.ca
Amy McGovernUniversity of OklahomaAdresse e-mail validée de ou.edu
Balaraman RavindranProfessor of Computer Science, Indian Institute of Technology MadrasAdresse e-mail validée de cse.iitm.ac.in
Sarah OsentoskiVinci4dAdresse e-mail validée de vinci4d.ai
Marco MirolliSenior Researcher, Istituto di Scienze e Tecnologie della Cognizione, CNR, ItalyAdresse e-mail validée de istc.cnr.it
Nuttapong ChentanezNVIDIA, Chulalongkorn UniversityAdresse e-mail validée de eecs.berkeley.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonAdresse e-mail validée de google.com
Alicia WolfePostdoc, Wesleyan UniversityAdresse e-mail validée de wesleyan.edu

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Andrew Barto

University of Massachusetts Amherst

Adresse e-mail validée de cs.umass.edu - Page d'accueil

Reinforcement learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Reinforcement learning: An introduction RS Sutton A Bradford Book, 2018	78830	2018
Introduction to reinforcement learning D Ernst, A Louette Feuerriegel, S., Hartmann, J., Janiesch, C., and Zschech, P, 111-126, 2024	6108	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	5282	1983
Toward a modern theory of adaptive networks: expectation and prediction. RS Sutton, AG Barto Psychological review 88 (2), 135, 1981	1877	1981
Recent advances in hierarchical reinforcement learning AG Barto, S Mahadevan Discrete event dynamic systems 13, 341-379, 2003	1849	2003
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1694	1995
Introduction to reinforcement learning. Vol. 135 RS Sutton, AG Barto MIT press Cambridge 5, 21-22, 1998	1196	1998
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	1078	2004
Linear least-squares algorithms for temporal difference learning SJ Bradtke, AG Barto Machine learning 22 (1), 33-57, 1996	1038	1996
Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004	998	2004
Improving elevator performance using reinforcement learning R Crites, A Barto Advances in neural information processing systems 8, 1995	906	1995
A model of how the basal ganglia generate and use neural signals that predict reinforcement JC Houk, JL Adams, AG Barto	904	1994
Reinforcement learning is direct adaptive optimal control RS Sutton, AG Barto, RJ Williams IEEE control systems magazine 12 (2), 19-22, 1992	856	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	813	1991
Time-derivative models of Pavlovian reinforcement. RS Sutton, AG Barto The MIT Press, 1990	813	1990
Reinforcement Learning: An Introduction. By Richard’s Sutton AG Barto SIAM Rev 6 (2), 423, 2021	792	2021
Adaptive critics and the basal ganglia AG Barto	742	1995
Reinforcement learning: an introduction MIT Press RS Sutton, AG Barto Cambridge, MA 22447, 10, 1998	712	1998
Learning and sequential decision making AG Barto, RS Sutton, C Watkins University of Massachusetts, 1989	675	1989
Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto	666	2001

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