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
417952018
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
40711983
Introduction to reinforcement learning
RS Sutton, AG Barto
MIT press, 1998
37051998
Toward a modern theory of adaptive networks: expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16071981
Learning to act using real-time dynamic programming
AG Barto, SJ Bradtke, SP Singh
Artificial intelligence 72 (1-2), 81-138, 1995
14671995
Introduction to the History of Science
G Sarton
Williams and Wilkins, 1962
13421962
Recent advances in hierarchical reinforcement learning
AG Barto, S Mahadevan
Discrete event dynamic systems 13 (1), 41-77, 2003
12542003
Handbook of learning and approximate dynamic programming
J Si, AG Barto, WB Powell, D Wunsch
John Wiley & Sons, 2004
9212004
Improving elevator performance using reinforcement learning
IDS Touretzky, MC Mozer, ME Hasselmo
Advances in neural information processing systems 8, 1017-1023, 1996
8181996
Linear least-squares algorithms for temporal difference learning
SJ Bradtke, AG Barto
Machine learning 22 (1), 33-57, 1996
7541996
Adaptive critics and the basal ganglia
AG Barto
720*1995
Intrinsically motivated reinforcement learning
S Singh, AG Barto, N Chentanez
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2005
7132005
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
7031991
Time-derivative models of pavlovian reinforcement.
RS Sutton, AG Barto
The MIT Press, 1990
6851990
A bradford book
RS Sutton, AG Barto
Reinforcement learning: An introduction, 1998
6101998
Learning and sequential decision making
AG Barto, RS Sutton, C Watkins
University of Massachusetts, 1989
5751989
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE Control Systems Magazine 12 (2), 19-22, 1992
5471992
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 5, 21-22, 1998
5131998
Automatic discovery of subgoals in reinforcement learning using diverse density
A McGovern, AG Barto
5052001
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
4982007
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