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Andrew Barto
Andrew Barto
Dirección de correo verificada de cs.umass.edu - Página principal
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Citado por
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Año
Reinforcement learning: An introduction
RS Sutton, AG Barto
MIT press, 2018
504842018
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
44821983
Introduction to reinforcement learning
RS Sutton, AG Barto
MIT press 135 (10.5555), 551283, 1998
44741998
Toward a modern theory of adaptive networks: expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16381981
Learning to act using real-time dynamic programming
AG Barto, SJ Bradtke, SP Singh
Artificial intelligence 72 (1-2), 81-138, 1995
15501995
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13 (1), 41-77, 2003
14112003
Handbook of learning and approximate dynamic programming
J Si, AG Barto, WB Powell, D Wunsch
John Wiley & Sons, 2004
9012004
Linear least-squares algorithms for temporal difference learning
SJ Bradtke, AG Barto
Machine learning 22 (1), 33-57, 1996
8511996
Improving elevator performance using reinforcement learning
R Crites, A Barto
Advances in neural information processing systems 8, 1995
8481995
Intrinsically motivated reinforcement learning
N Chentanez, A Barto, S Singh
Advances in neural information processing systems 17, 2004
8412004
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 5, 21-22, 1998
8171998
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
7511991
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
The MIT Press, 1990
7411990
An Introduction to
AG Barto, RL AG
A Bradford Book, 1998
7141998
1 ‘1 Adaptive Critics and the Basal Ganglia,.’
AG Barto
Models of information processing in the basal ganglia 215, 1995
696*1995
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE control systems magazine 12 (2), 19-22, 1992
6501992
Learning and sequential decision making
AG Barto, RS Sutton, C Watkins
University of Massachusetts, 1989
6201989
Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
5692001
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
5322007
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
5132004
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