Standout Papers

Reinforcement Learning: An Introduction 1988 2026 2000 2013 14.0k
  1. Reinforcement Learning: An Introduction (1998)
    Richard S. Sutton, Andy Barto IEEE Transactions on Neural Networks
  2. Introduction to Reinforcement Learning (1998)
    Richard S. Sutton, Andrew G. Barto MIT Press eBooks
  3. Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)
    Richard S. Sutton, David McAllester et al. Neural Information Processing Systems
  4. Learning to Predict by the Methods of Temporal Differences (1988)
    Richard S. Sutton Machine Learning
  5. Learning to predict by the methods of temporal differences (1988)
    Richard S. Sutton Machine Learning
  6. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)
    Richard S. Sutton, Doina Precup et al. Artificial Intelligence
  7. Toward a modern theory of adaptive networks: Expectation and prediction. (1981)
    Richard S. Sutton, Andrew G. Barto Psychological Review
  8. Reward is enough (2021)
    David Silver, Satinder Singh et al. Artificial Intelligence

Immediate Impact

37 by Nobel laureates 75 from Science/Nature 151 standout
Sub-graph 1 of 17

Citing Papers

Machine Learning Aided Design and Optimization of Thermal Metamaterials
2024 Standout
Dense reinforcement learning for safety validation of autonomous vehicles
2023 StandoutNature
40 intermediate papers

Works of Richard S. Sutton being referenced

Reward is enough
2021 Standout
Reinforcement Learning: An Introduction
1998 Standout
and 21 more

Author Peers

Author Last Decade Papers Cites
Richard S. Sutton 13676 3452 5027 4875 105 29.1k
Demis Hassabis 15461 2738 8495 4273 75 41.8k
Dharshan Kumaran 8761 1190 6164 2856 55 24.4k
David Silver 16132 3183 1813 5700 83 36.7k
David E. Rumelhart 14391 1456 10727 2759 63 41.7k
Timothy Lillicrap 8797 1474 1947 2527 58 19.0k
Koray Kavukcuoglu 11325 2062 1446 3541 27 27.0k
Chih‐Jen Lin 11281 1801 3005 1940 102 34.5k
Ruslan Salakhutdinov 15680 955 2284 2297 89 38.0k
Chin‐Teng Lin 5820 979 5064 2534 572 18.6k
Ronald J. Williams 9318 1043 1777 2107 41 22.3k

All Works

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2026