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
397292018
Reinforcement learning: An Introduction, 1st edition
RS Sutton, AG Barto
MIT press, 1998
7253*1998
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3 (1), 9-44, 1988
59861988
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
40391983
Policy gradient methods for reinforcement learning with function approximation
RS Sutton, D McAllester, S Singh, Y Mansour
Advances in neural information processing systems 12, 1057-1063, 1999
37621999
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
26221999
Guidelines: Guidelines for the diagnosis and management of syncope (version 2009): The Task Force for the Diagnosis and Management of Syncope of the European Society of …
A Moya, R Sutton, F Ammirati, JJ Blanc, M Brignole, JB Dahm, JC Deharo, ...
European heart journal 30 (21), 2631, 2009
18282009
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
16581990
Toward a modern theory of adaptive networks: Expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16071981
Generalization in reinforcement learning: Successful examples using sparse coarse coding
RS Sutton
Advances in neural information processing systems, 1038-1044, 1996
14891996
Neural networks for control
WT Miller, PJ Werbos, RS Sutton
MIT press, 1990
14401990
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
12242004
Temporal credit assignment in reinforcement learning
RS Sutton
University of Massachusetts, Amherst, http://www.incompleteideas.net/papers …, 1984
9061984
Reinforcement learning with replacing eligibility traces
SP Singh, RS Sutton
Machine learning 22 (1-3), 123-158, 1996
8291996
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
Learning and Computational Neuroscience: Foundations of Adaptive Networks …, 1990
7241990
2018 ESC Guidelines for the diagnosis and management of syncope
M Brignole, A Moya, FJ de Lange, JC Deharo, PM Elliott, A Fanciulli, ...
European heart journal 39 (21), 1883-1948, 2018
6482018
A menu of designs for reinforcement learning over time
PJ Werbos, WT Miller, RS Sutton
Neural networks for control, 67-95, 1990
6281990
S., Barto A., G.,“
R Sutton
Reinforcement Learning, An Introduction, 2000
594*2000
Learning and sequential decision making
AG Barto, RS Sutton, CJCH Watkins
Learning and Computational Neuroscience: Foundations of Adaptive Networks, 1990
5681990
Incremental natural actor-critic algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Advances in neural information processing systems, 2008
567*2008
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