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Richard S. Sutton
Richard S. Sutton
DeepMind, Amii, and University of Alberta
Verified email at richsutton.com - Homepage
Title
Cited by
Cited by
Year
Reinforcement learning: An Introduction, 2nd edition
RS Sutton, AG Barto
MIT press, 2018
505172018
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3 (1), 9-44, 1988
67651988
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
53881999
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
44951983
Reinforcement learning: An Introduction, 1st edition
RS Sutton, AG Barto
MIT press, 1998
4476*1998
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
33041999
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
18921990
Generalization in reinforcement learning: Successful examples using sparse coarse coding
RS Sutton
Advances in neural information processing systems 8, 1995
16551995
Toward a modern theory of adaptive networks: Expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16381981
Neural networks for control
WT Miller, PJ Werbos, RS Sutton
MIT press, 1990
15671990
Guidelines on management (diagnosis and treatment) of syncope–update 2004: the Task Force on Syncope, European Society of Cardiology
M Brignole, P Alboni, DG Benditt, L Bergfeldt, JJ Blanc, PEB Thomsen, ...
European heart journal 25 (22), 2054-2072, 2004
12382004
Temporal credit assignment in reinforcement learning
RS Sutton
University of Massachusetts, Amherst, http://www.incompleteideas.net/papers …, 1984
10291984
Reinforcement learning with replacing eligibility traces
SP Singh, RS Sutton
Machine learning 22 (1), 123-158, 1996
9271996
Introduction to reinforcement learning. Vol. 135
RS Sutton, AG Barto
MIT press Cambridge 5, 21-22, 1998
8171998
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
Learning and Computational Neuroscience: Foundations of Adaptive Networks …, 1990
7881990
Dyna, an integrated architecture for learning, planning, and reacting
RS Sutton
ACM Sigart Bulletin 2 (4), 160-163, 1991
7761991
Incremental natural actor-critic algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Advances in neural information processing systems, 2008
710*2008
A menu of designs for reinforcement learning over time
PJ Werbos, WT Miller, RS Sutton
Neural networks for control 3, 67-95, 1990
6871990
S., Barto A., G.,“
R Sutton
Reinforcement Learning, An Introduction, 2000
670*2000
Reinforcement learning is direct adaptive optimal control
RS Sutton, AG Barto, RJ Williams
IEEE control systems magazine 12 (2), 19-22, 1992
6501992
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