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
450802018
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
43091983
Introduction to reinforcement learning
RS Sutton, AG Barto
MIT press, 1998
39891998
Toward a modern theory of adaptive networks: expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16061981
Learning to act using real-time dynamic programming
AG Barto, SJ Bradtke, SP Singh
Artificial intelligence 72 (1-2), 81-138, 1995
15221995
Introduction to the History of Science
G Sarton
Williams and Wilkins, 1962
15121962
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13 (1), 41-77, 2003
13082003
Handbook of learning and approximate dynamic programming
J Si, AG Barto, WB Powell, D Wunsch
John Wiley & Sons, 2004
9272004
Improving elevator performance using reinforcement learning
RH Crites, AG Barto
Advances in neural information processing systems, 1017-1023, 1996
8481996
Linear least-squares algorithms for temporal difference learning
SJ Bradtke, AG Barto
Machine learning 22 (1), 33-57, 1996
8011996
Intrinsically motivated reinforcement learning
S Singh, AG Barto, N Chentanez
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2005
7592005
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
7491991
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
The MIT Press, 1990
7081990
Adaptive critics and the basal ganglia
AG Barto
691*1995
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 10, 551283, 1998
6271998
Learning and sequential decision making
AG Barto, RS Sutton, C Watkins
University of Massachusetts, 1989
6001989
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE Control Systems Magazine 12 (2), 19-22, 1992
5951992
Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
5242001
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
5132007
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
4812004
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