Richard S. Sutton
Richard S. Sutton
DeepMind, Amii, and University of Alberta
Verified email at - Homepage
Cited by
Cited by
Reinforcement learning: An Introduction, 2nd edition
RS Sutton, AG Barto
MIT press, 2018
Reinforcement learning: An Introduction, 1st edition
RS Sutton, AG Barto
MIT press, 1998
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3 (1), 9-44, 1988
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
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
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
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
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
Toward a modern theory of adaptive networks: Expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
Generalization in reinforcement learning: Successful examples using sparse coarse coding
RS Sutton
Advances in neural information processing systems, 1038-1044, 1996
Neural networks for control
WT Miller, PJ Werbos, RS Sutton
MIT press, 1990
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
Temporal credit assignment in reinforcement learning
RS Sutton
University of Massachusetts, Amherst, …, 1984
Reinforcement learning with replacing eligibility traces
SP Singh, RS Sutton
Machine learning 22 (1-3), 123-158, 1996
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
Learning and Computational Neuroscience: Foundations of Adaptive Networks …, 1990
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
A menu of designs for reinforcement learning over time
PJ Werbos, WT Miller, RS Sutton
Neural networks for control, 67-95, 1990
S., Barto A., G.,“
R Sutton
Reinforcement Learning, An Introduction, 2000
Predictive representations of state
ML Littman, RS Sutton, S Singh
Advances in neural information processing systems, 1555-1561, 2002
Incremental natural actor-critic algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Advances in neural information processing systems, 2008
The system can't perform the operation now. Try again later.
Articles 1–20