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
422822018
Learning to predict by the methods of temporal differences
RS Sutton
Machine learning 3 (1), 9-44, 1988
61581988
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
41151983
Policy gradient methods for reinforcement learning with function approximation.
RS Sutton, DA McAllester, SP Singh, Y Mansour
NIPs 99, 1057-1063, 1999
41031999
Reinforcement learning: An Introduction, 1st edition
RS Sutton, AG Barto
MIT press, 1998
3777*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
27841999
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
17011990
Toward a modern theory of adaptive networks: Expectation and prediction.
RS Sutton, AG Barto
Psychological review 88 (2), 135, 1981
16131981
Generalization in reinforcement learning: Successful examples using sparse coarse coding
RS Sutton
Advances in neural information processing systems, 1038-1044, 1996
15301996
Neural networks for control
WT Miller, PJ Werbos, RS Sutton
MIT press, 1990
14441990
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
12272004
Temporal credit assignment in reinforcement learning
RS Sutton
University of Massachusetts, Amherst, http://www.incompleteideas.net/papers …, 1984
9241984
Reinforcement learning with replacing eligibility traces
SP Singh, RS Sutton
Machine learning 22 (1), 123-158, 1996
8601996
Time-derivative models of Pavlovian reinforcement.
RS Sutton, AG Barto
Learning and Computational Neuroscience: Foundations of Adaptive Networks …, 1990
7341990
A menu of designs for reinforcement learning over time
PJ Werbos, WT Miller, RS Sutton
Neural networks for control, 67-95, 1990
6431990
A bradford book
RS Sutton, AG Barto
Reinforcement learning: An introduction, 1998
6121998
Incremental natural actor-critic algorithms
S Bhatnagar, RS Sutton, M Ghavamzadeh, M Lee
Advances in neural information processing systems, 2008
598*2008
Predictive representations of state
ML Littman, RS Sutton, S Singh
Advances in neural information processing systems, 1555-1561, 2002
5942002
Dyna, an integrated architecture for learning, planning, and reacting
RS Sutton
ACM Sigart Bulletin 2 (4), 160-163, 1991
5921991
Learning and sequential decision making
AG Barto, RS Sutton, CJCH Watkins
Learning and Computational Neuroscience: Foundations of Adaptive Networks, 1990
5751990
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