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Andrew Barto
Andrew Barto
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
Reinforcement learning: An introduction
RS Sutton, AG Barto
MIT press, 2018
525332018
Introduction to reinforcement learning
RS Sutton, AG Barto
MIT press 135 (10.5555), 551283, 1998
46261998
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
45221983
Toward a modern theory of adaptive networks: expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16611981
Learning to act using real-time dynamic programming
AG Barto, SJ Bradtke, SP Singh
Artificial intelligence 72 (1-2), 81-138, 1995
15611995
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13 (1), 41-77, 2003
14482003
Handbook of learning and approximate dynamic programming
J Si, AG Barto, WB Powell, D Wunsch
John Wiley & Sons, 2004
9102004
Linear least-squares algorithms for temporal difference learning
SJ Bradtke, AG Barto
Machine learning 22 (1), 33-57, 1996
8711996
Intrinsically motivated reinforcement learning
N Chentanez, A Barto, S Singh
Advances in neural information processing systems 17, 2004
8662004
Improving elevator performance using reinforcement learning
R Crites, A Barto
Advances in neural information processing systems 8, 1995
8551995
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 5, 21-22, 1998
8451998
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
7541991
Time-derivative models of pavlovian reinforcement.
RS Sutton, AG Barto
The MIT Press, 1990
7371990
1 ‘1 Adaptive Critics and the Basal Ganglia,.’
AG Barto
Models of information processing in the basal ganglia 215, 1995
695*1995
A bradford book
RS Sutton, AG Barto
Reinforcement learning: An introduction, 1998
6661998
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE control systems magazine 12 (2), 19-22, 1992
6621992
An Introduction to
AG Barto, RL AG
A Bradford Book, 1998
6421998
Learning and sequential decision making
AG Barto, RS Sutton, C Watkins
University of Massachusetts, 1989
6181989
Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
5752001
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
5372007
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