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Richard S. Sutton
Richard S. Sutton
Keen, Amii, and University of Alberta
Подтвержден адрес электронной почты в домене richsutton.com - Главная страница
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Reinforcement learning: An Introduction, 2nd edition
RS Sutton, AG Barto
MIT press, 2018
76980*2018
Policy gradient methods for reinforcement learning with function approximation
RS Sutton, D McAllester, S Singh, Y Mansour
Advances in neural information processing systems 12, 1999
89201999
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3, 9-44, 1988
82481988
Reinforcement learning: An Introduction, 1st edition
RS Sutton, AG Barto
MIT press, 1998
6069*1998
Neuronlike adaptive elements that can solve difficult learning control problems
AG Barto, RS Sutton, CW Anderson
IEEE transactions on systems, man, and cybernetics 13 (5), 834-846, 1983
52231983
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
RS Sutton, D Precup, S Singh
Artificial intelligence 112 (1-2), 181-211, 1999
46181999
Integrated architectures for learning, planning, and reacting based on approximating dynamic programming
RS Sutton
Proceedings of the International Conference on Machine Learning, 216-224, 1990
22811990
Generalization in reinforcement learning: Successful examples using sparse coarse coding
RS Sutton
Advances in neural information processing systems 8, 1995
19021995
Toward a modern theory of adaptive networks: Expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
18601981
Neural networks for control
WT Miller, PJ Werbos, RS Sutton
MIT press, 1990
18491990
Temporal credit assignment in reinforcement learning
RS Sutton
University of Massachusetts, Amherst, http://www.incompleteideas.net/papers …, 1984
12491984
Dyna, an integrated architecture for learning, planning, and reacting
RS Sutton
ACM Sigart Bulletin 2 (4), 160-163, 1991
12441991
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 5, 21-22, 1998
11741998
Incremental natural actor-critic algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Advances in neural information processing systems, 2008
11082008
Reinforcement learning with replacing eligibility traces
SP Singh, RS Sutton
Machine learning 22 (1), 123-158, 1996
10541996
Eligibility traces for off-policy policy evaluation
D Precup, RS Sutton, S Singh
International Conference on Machine Learning 16, 759-766, 2000
9982000
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
Learning and Computational Neuroscience: Foundations of Adaptive Networks …, 1990
8541990
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE control systems magazine 12 (2), 19-22, 1992
8441992
A menu of designs for reinforcement learning over time
WT Miller, RS Sutton, PJ Werbos
MIT press, 1995
7761995
S., Barto A., G.,“
R Sutton
Reinforcement Learning, An Introduction, 2000
742*2000
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