Standout Papers
- Reinforcement Learning: An Introduction (1998)
- Introduction to Reinforcement Learning (1998)
- Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)
- Learning to Predict by the Methods of Temporal Differences (1988)
- Learning to predict by the methods of temporal differences (1988)
- Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)
- Toward a modern theory of adaptive networks: Expectation and prediction. (1981)
- Reward is enough (2021)
Immediate Impact
37 by Nobel laureates 75 from Science/Nature 151 standout
Citing Papers
Machine Learning Aided Design and Optimization of Thermal Metamaterials
2024 Standout
Dense reinforcement learning for safety validation of autonomous vehicles
2023 StandoutNature
Works of Richard S. Sutton being referenced
Reward is enough
2021 Standout
Reinforcement Learning: An Introduction
1998 Standout
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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