Andrew Barto

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Richard S. SuttonKeen, Amii, and University of AlbertaPatvirtintas el. paštas richsutton.com
George KonidarisBrownPatvirtintas el. paštas cs.brown.edu
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.Patvirtintas el. paštas colostate.edu
Roderic GrupenUniversity of MassachusettsPatvirtintas el. paštas cs.umass.edu
Scott KuindersmaSenior Director of Robotics Research at Boston DynamicsPatvirtintas el. paštas seas.harvard.edu
Andrew FaggUniversity of OklahomaPatvirtintas el. paštas cs.ou.edu
Scott NiekumAssociate Professor, University of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Özgür ŞimşekProfessor of Artificial Intelligence, University of BathPatvirtintas el. paštas bath.ac.uk
Steven BradtkeResearch Engineer, Vistronix, Inc.Patvirtintas el. paštas asrcfederal.com
Sridhar MahadevanDirector, Adobe Research & Professor, University of Massachusetts, AmherstPatvirtintas el. paštas cs.umass.edu
Gianluca BaldassarreSenior Researcher, Institute of Cognitive Sciences and Tecnologies, National Research CouncilPatvirtintas el. paštas istc.cnr.it
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganPatvirtintas el. paštas umich.edu
Theodore J. PerkinsOttawa Hospital Research InstitutePatvirtintas el. paštas ohri.ca
Amy McGovernUniversity of OklahomaPatvirtintas el. paštas ou.edu
Balaraman RavindranProfessor of Data Science and AI, Wadhwani School of Data Science and AI, IIT MadrasPatvirtintas el. paštas dsai.iitm.ac.in
Sarah OsentoskiVinci4dPatvirtintas el. paštas vinci4d.ai
Marco MirolliSenior Researcher, Istituto di Scienze e Tecnologie della Cognizione, CNR, ItalyPatvirtintas el. paštas istc.cnr.it
Nuttapong ChentanezNVIDIA, Chulalongkorn UniversityPatvirtintas el. paštas eecs.berkeley.edu
Alicia WolfePostdoc, Wesleyan UniversityPatvirtintas el. paštas wesleyan.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonPatvirtintas el. paštas google.com

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Andrew Barto

University of Massachusetts Amherst

Patvirtintas el. paštas cs.umass.edu - Pagrindinis puslapis

Reinforcement learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Reinforcement learning: An introduction RS Sutton, AG Barto MIT press 1 (1), 9-11, 1998	79645	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	5283	1983
Toward a modern theory of adaptive networks: expectation and prediction. RS Sutton, AG Barto Psychological review 88 (2), 135, 1981	1898	1981
Recent advances in hierarchical reinforcement learning AG Barto, S Mahadevan Discrete event dynamic systems 13, 341-379, 2003	1723	2003
Learning to act using real-time dynamic programming AG Barto, SJ Bradtke, SP Singh Artificial intelligence 72 (1-2), 81-138, 1995	1700	1995
Introduction to reinforcement learning, vol. 135 RS Sutton, AG Barto MIT press Cambridge 5, 21-22, 1998	1195	1998
Intrinsically motivated reinforcement learning N Chentanez, A Barto, S Singh Advances in neural information processing systems 17, 2004	1087	2004
Linear least-squares algorithms for temporal difference learning SJ Bradtke, AG Barto Machine learning 22 (1), 33-57, 1996	1040	1996
Handbook of learning and approximate dynamic programming J Si, AG Barto, WB Powell, D Wunsch John Wiley & Sons, 2004	1003	2004
Improving elevator performance using reinforcement learning R Crites, A Barto Advances in neural information processing systems 8, 1995	912	1995
Reinforcement learning is direct adaptive optimal control RS Sutton, AG Barto, RJ Williams IEEE control systems magazine 12 (2), 19-22, 1992	853	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	815	1991
Reinforcement learning: An introduction. by richard’s sutton AG Barto SIAM Rev 6 (2), 423, 2021	789	2021
1" 1 adaptive critics and the basal ganglia,” AG Barto Models of information processing in the basal ganglia 215, 1995	746	1995
Reinforcement learning: an introduction MIT Press RS Sutton, AG Barto Cambridge, MA 22447 (10), 1998	690	1998
Learning and sequential decision making AG Barto, RS Sutton, C Watkins University of Massachusetts, 1989	674	1989
Automatic discovery of subgoals in reinforcement learning using diverse density A McGovern, AG Barto ICML 1, 361-368, 2001	668	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	594	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	590	2004

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