Karl Tuyls
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- Game Theory and Applications 33
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics 34
- Evolutionary Algorithms and Applications 18
- Safety Research top 2%
- Experimental Behavioral Economics Studies 21
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- Distributed Control Multi-Agent Systems 17
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- Robotic Path Planning Algorithms 14
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- Evolutionary Game Theory and Cooperation 34
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- Modular Robots and Swarm Intelligence 14
- Co-authors
- Gerhard WeißMichael KaisersDaniel HennesBram VanschoenwinkelAnn NowéBernard ManderickDaniel ClaesSam Maes
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Scientific Reports (2 papers)
- Partner nations
- NetherlandsUnited KingdomBelgium
In The Last Decade
Karl Tuyls
149 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 131
- Management Science and Operations Research 635
- Artificial Intelligence 1.5k
- Safety Research 258
- Computer Networks and Communications 600
- Computer Vision and Pattern Recognition 425
Countries citing papers authored by Karl Tuyls
This map shows the geographic impact of Karl Tuyls'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 Karl Tuyls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Tuyls more than expected).
Fields of papers citing papers by Karl Tuyls
This network shows the impact of papers produced by Karl Tuyls. 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 Karl Tuyls. The network helps show where Karl Tuyls may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karl Tuyls, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2018 | 229 | |
| 3 | Model-Based Reinforcement Learning under Periodical Observability. | 2018 | 2 |
| 4 | The Mechanics of n-Player Differentiable Games | 2018 | 13 |
| 5 | 2018 | 44 | |
| 6 | Off-policy experience retention for deep actor-critic learning | 2016 | 3 |
| 7 | 2014 | 1 | |
| 8 | An automated measure of MDP similarity for transfer in reinforcement learning | 2014 | 29 |
| 9 | 2013 | 4 | |
| 10 | 2012 | 32 | |
| 11 | 2011 | 3 | |
| 12 | 2011 | 9 | |
| 13 | 2009 | 8 | |
| 14 | Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. | 2007 | 3 |
| 15 | 2006 | 58 | |
| 16 | Learning and Adaptation in Multi-Agent Systems | 2006 | 3 |
| 17 | Proceedings of the Third European Workshop on Multi-Agent Systems. (EUMAS 2005) | 2005 | 1 |
| 18 | Towards a Common Lexicon in The Naming Game: The Dynamics of Synonymy Reduction. | 2005 | 3 |
| 19 | Towards a relation between learning agents and evolutionary dynamics | 2002 | 7 |
| 20 | Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. | 2002 | 2 |
About Karl Tuyls
Karl Tuyls is a scholar working on Management Science and Operations Research, Safety Research and Artificial Intelligence, having authored 163 papers that have together received 3.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (34 papers), Evolutionary Game Theory and Cooperation (34 papers), Game Theory and Applications (33 papers), Experimental Behavioral Economics Studies (21 papers), Evolutionary Algorithms and Applications (18 papers), Distributed Control Multi-Agent Systems (17 papers), Modular Robots and Swarm Intelligence (14 papers) and Robotic Path Planning Algorithms (14 papers). The work is most often cited by research in Management Science and Operations Research (635 citations), Artificial Intelligence (1.5k citations) and Safety Research (258 citations). Karl Tuyls has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Gerhard Weiß, Michael Kaisers, Daniel Hennes, Bram Vanschoenwinkel, Ann Nowé, Bernard Manderick, Daniel Claes, Sam Maes, Daan Bloembergen and Katja Verbeeck. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.
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.