Peter Sunehag
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Artificial Intelligence in Games
- Adversarial Robustness in Machine Learning
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- Adaptive Dynamic Programming Control
Papers in
-
- Reinforcement Learning in Robotics 10
- Artificial Intelligence in Games 3
- Algorithms and Data Compression 3
- Anomaly Detection Techniques and Applications 3
- Evolutionary Algorithms and Applications 3
- Co-authors
- Joel Z. Leibo (6 shared papers)Guy Lever (3 shared papers)Thore Graepel (4 shared papers)Audrūnas Gruslys (1 shared paper)Max Jaderberg (1 shared paper)Marc Lanctot (1 shared paper)Nicolas Sonnerat (1 shared paper)Karl Tuyls (1 shared paper)
- Journals
- Journal of Machine Learning Research (2 papers)Pervasive and Mobile Computing (1 paper)Journal of Mathematical Analysis and Applications (1 paper)Behavioral and Brain Sciences (1 paper)Studia Mathematica (1 paper)
- Partner nations
- AustraliaUnited KingdomSweden
In The Last Decade
Peter Sunehag
22 papers receiving 328 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 224
- Computational Theory and Mathematics 63
- Computer Networks and Communications 87
- Management Science and Operations Research 28
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Peter Sunehag
This map shows the geographic impact of Peter Sunehag's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Sunehag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sunehag more than expected).
Fields of papers citing papers by Peter Sunehag
This network shows the impact of papers produced by Peter Sunehag. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Sunehag. The network helps show where Peter Sunehag may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sunehag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 240 | |
| 2 | 2010 | 24 | |
| 3 | 2009 | 11 | |
| 4 | 2023 | 9 | |
| 5 | Q-learning for history-based reinforcement learning | 2013 | 7 |
| 6 | Rationality, optimism and guarantees in general reinforcement learning | 2015 | 6 |
| 7 | 2019 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2008 | 5 | |
| 11 | 2019 | 4 | |
| 12 | Context tree maximizing reinforcement learning | 2012 | 4 |
| 13 | Feature Reinforcement Learning: State of the Art | 2014 | 3 |
| 14 | 2013 | 2 | |
| 15 | 2004 | 2 | |
| 16 | 2003 | 2 | |
| 17 | 2007 | 2 | |
| 18 | Feature Reinforcement Learning using Looping Suffix Trees | 2012 | 2 |
| 19 | Interpolation of Subcouples, New Results and Applications | 2003 | 2 |
| 20 | Emerge and spread models and word burstiness | 2007 | 1 |
About Peter Sunehag
Peter Sunehag is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 346 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Advanced Harmonic Analysis Research (4 papers), Artificial Intelligence in Games (3 papers), Algorithms and Data Compression (3 papers), Anomaly Detection Techniques and Applications (3 papers), Evolutionary Algorithms and Applications (3 papers), Holomorphic and Operator Theory (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Computational Theory and Mathematics (63 citations), Computer Networks and Communications (87 citations), Management Science and Operations Research (28 citations) and Computer Vision and Pattern Recognition (44 citations). Peter Sunehag has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Joel Z. Leibo, Guy Lever, Thore Graepel, Audrūnas Gruslys, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Karl Tuyls, Vinícius Zambaldi and Wojciech Marian Czarnecki. Their work appears in journals such as Journal of Machine Learning Research, Pervasive and Mobile Computing, Journal of Mathematical Analysis and Applications, Behavioral and Brain Sciences and Studia Mathematica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.