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
406132018
Reinforcement learning: An Introduction, 1st edition
RS Sutton, AG Barto
MIT press, 1998
7348*1998
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3 (1), 9-44, 1988
60901988
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
40881983
Policy gradient methods for reinforcement learning with function approximation
RS Sutton, DA McAllester, SP Singh, Y Mansour
Advances in neural information processing systems, 1057-1063, 2000
39192000
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
27021999
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
18442009
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
16821990
Toward a modern theory of adaptive networks: Expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16241981
Generalization in reinforcement learning: Successful examples using sparse coarse coding
RS Sutton
Advances in neural information processing systems, 1038-1044, 1996
15051996
Neural networks for control
WT Miller, PJ Werbos, RS Sutton
MIT press, 1990
14471990
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
12282004
Temporal credit assignment in reinforcement learning
RS Sutton
University of Massachusetts, Amherst, http://www.incompleteideas.net/papers …, 1984
9201984
Reinforcement learning with replacing eligibility traces
SP Singh, RS Sutton
Machine learning 22 (1-3), 123-158, 1996
8421996
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
Learning and Computational Neuroscience: Foundations of Adaptive Networks …, 1990
7291990
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
6882018
A menu of designs for reinforcement learning over time
PJ Werbos, WT Miller, RS Sutton
Neural networks for control, 67-95, 1990
6381990
S., Barto A., G.,“
R Sutton
Reinforcement Learning, An Introduction, 2000
598*2000
Predictive representations of state
ML Littman, RS Sutton, S Singh
Advances in neural information processing systems, 1555-1561, 2002
5852002
Incremental natural actor-critic algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Advances in neural information processing systems, 2008
583*2008
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