Andrew Barto

Cited by

	All	Since 2018
Citations	105043	49607
h-index	88	56
i10-index	205	132

12000

6000

3000

9000

1990199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023348 457 490 495 603 598 572 745 763 829 936 1248 1257 1482 1719 2144 2289 2688 2861 2934 3114 3194 3365 3512 3630 3346 3748 4350 5803 7659 9348 10735 11522 4534

Public access

View all

10 articles

1 article

available

not available

Based on funding mandates

Co-authors

Richard S. SuttonDeepMind, Amii, and University of AlbertaVerified email at richsutton.com
George KonidarisBrownVerified email at cs.brown.edu
Roderic GrupenUniversity of MassachusettsVerified email at cs.umass.edu
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.Verified email at colostate.edu
Scott KuindersmaSenior Director of Robotics Research at Boston DynamicsVerified email at seas.harvard.edu
Scott NiekumAssociate Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Andrew FaggUniversity of OklahomaVerified email at cs.ou.edu
Özgür ŞimşekUniversity 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
Amy McGovernUniversity of OklahomaVerified email at ou.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
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 OsentoskiIron OxVerified email at ironox.com
Nuttapong ChentanezNVIDIA, Chulalongkorn UniversityVerified email at eecs.berkeley.edu
Marco MirolliResearcher, Istituto di Scienze e Tecnologie della Cognizione, CNR, ItalyVerified email at istc.cnr.it
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Alicia WolfePostdoc, Wesleyan UniversityVerified email at wesleyan.edu

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	60378	2018
Introduction to reinforcement learning RS Sutton, AG Barto MIT press 135, 223-260, 1998	5147	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	4744	1983
Toward a modern theory of adaptive networks: expectation and prediction. RS Sutton, AG Barto Psychological review 88 (2), 135, 1981	1716	1981
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1597	1995
Recent advances in hierarchical reinforcement learning AG Barto, S Mahadevan Discrete event dynamic systems 13 (1-2), 41-77, 2003	1456	2003
Introduction to reinforcement learning. Vol. 135 RS Sutton, AG Barto MIT press Cambridge 5, 21-22, 1998	946	1998
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	943	2004
Linear least-squares algorithms for temporal difference learning SJ Bradtke, AG Barto Machine learning 22 (1-3), 33-57, 1996	927	1996
Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004	915	2004
Improving elevator performance using reinforcement learning R Crites, A Barto Advances in neural information processing systems 8, 1995	871	1995
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	812	1991
Time-derivative models of pavlovian reinforcement. RS Sutton, AG Barto The MIT Press, 1990	748	1990
Reinforcement learning is direct adaptive optimal control RS Sutton, AG Barto, RJ Williams IEEE control systems magazine 12 (2), 19-22, 1992	738	1992
Adaptive critics and the basal ganglia AG Barto	718*	1995
; An Introduction AG Barto, RSR Learning A Bradford Book, 1998	705	1998
Learning and sequential decision making AG Barto, RS Sutton, C Watkins University of Massachusetts, 1989	625	1989
Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto	608	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	551	2007
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	536	2004

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors