Karl Tuyls
- Artificial Intelligence top 0.5%
- Management Science and Operations Research top 1%
- Computer Networks and Communications top 2%
- Sociology and Political Science top 5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Gerhard WeißMichael KaisersDaniel HennesBram VanschoenwinkelAnn NowéBernard ManderickDaniel ClaesSam Maes
- Topics
- Reinforcement Learning in Robotics (34 papers)Evolutionary Game Theory and Cooperation (34 papers)Game Theory and Applications (33 papers)
- Partner nations
- NetherlandsUnited KingdomBelgium
In The Last Decade
Karl Tuyls
149 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 1.5k
- Management Science and Operations Research 635
- Computer Networks and Communications 600
- Sociology and Political Science 520
- 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 of co-authors of Karl Tuyls
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Tuyls. A scholar is included among the top collaborators of Karl Tuyls based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karl Tuyls. Karl Tuyls is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 229 | |
| 3 | Model-Based Reinforcement Learning under Periodical Observability. | 2 |
| 4 | The Mechanics of n-Player Differentiable Games | 13 |
| 5 | 44 | |
| 6 | Off-policy experience retention for deep actor-critic learning | 3 |
| 7 | 1 | |
| 8 | An automated measure of MDP similarity for transfer in reinforcement learning | 29 |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. | 3 |
| 15 | 58 | |
| 16 | Learning and Adaptation in Multi-Agent Systems | 3 |
| 17 | Proceedings of the Third European Workshop on Multi-Agent Systems. (EUMAS 2005) | 1 |
| 18 | Towards a Common Lexicon in The Naming Game: The Dynamics of Synonymy Reduction. | 3 |
| 19 | Towards a relation between learning agents and evolutionary dynamics | 7 |
| 20 | Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. | 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) and Game Theory and Applications (33 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.