Karl Tuyls - Google Scholar Citations

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	All	Since 2015
Citations	4867	3029
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Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityVerified email at maastrichtuniversity.nl
Daniel HennesResearch Scientist, Google DeepMindVerified email at google.com
Nowe AnnGewoon hoogleraarVerified email at vub.be
Daan BloembergenResearcher, Centrum Wiskunde & InformaticaVerified email at cwi.nl
Michael KaisersCentrum Wiskunde & InformaticaVerified email at cwi.nl
Thore GraepelResearch Scientist, Google DeepMind, and Professor of Computer Science, UCLVerified email at ucl.ac.uk
Marc LanctotResearch Scientist, Google DeepMindVerified email at google.com
julien perolatDeepMindVerified email at google.com
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Joel Z LeiboResearch scientistVerified email at google.com
Vinicius ZambaldiGoogle DeepmindVerified email at google.com
Matthew E. TaylorPrincipal Researcher at Borealis AIVerified email at eecs.wsu.edu
Tom LenaertsProfessor Computer Science, Université Libre de BruxellesVerified email at ulb.ac.be
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
Simon ParsonsKing's College London, Department of InformaticsVerified email at kcl.ac.uk
Rahul SavaniProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Robert BabuskaProfessor of Intelligent Control and Robotics, Delft University of TechnologyVerified email at tudelft.nl
Rémi MunosDeepMindVerified email at inria.fr
Liviu PanaitGoogle IncVerified email at google.com
David BalduzziGoogle DeepMindVerified email at google.com

Karl Tuyls

Research Scientist, Google DeepMind and Professor of computer science, University of Liverpool

Verified email at google.com - Homepage

Artificial Intelligence


Title	Cited by	Year
Credit card fraud detection using Bayesian and neural networks S Maes, K Tuyls, B Vanschoenwinkel, B Manderick Proceedings of the 1st international naiso congress on neuro fuzzy …, 2002	311	2002
Inference of concise DTDs from XML data GJ Bex, F Neven, T Schwentick, K Tuyls ACM Press, 2006	155	2006
A unified game-theoretic approach to multiagent reinforcement learning M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ... Advances in Neural Information Processing Systems, 4190-4203, 2017	148	2017
Evolutionary dynamics of multi-agent learning: A survey D Bloembergen, K Tuyls, D Hennes, M Kaisers Journal of Artificial Intelligence Research 53, 659-697, 2015	131	2015
Cube and conquer: Guiding CDCL SAT solvers by lookaheads MJH Heule, O Kullmann, S Wieringa, A Biere Haifa Verification Conference, 50-65, 2011	124	2011
What evolutionary game theory tells us about multiagent learning K Tuyls, S Parsons Artificial Intelligence 171 (7), 406-416, 2007	116	2007
An evolutionary dynamical analysis of multi-agent learning in iterated games K Tuyls, PJT Hoen, B Vanschoenwinkel Autonomous Agents and Multi-Agent Systems 12 (1), 115-153, 2006	113	2006
A selection-mutation model for q-learning in multi-agent systems K Tuyls, K Verbeeck, T Lenaerts Proceedings of the second international joint conference on Autonomous …, 2003	107	2003
Multiagent learning: Basics, challenges, and prospects K Tuyls, G Weiss Ai Magazine 33 (3), 41-41, 2012	100	2012
Theoretical advantages of lenient learners: An evolutionary game theoretic perspective L Panait, K Tuyls, S Luke Journal of Machine Learning Research 9 (Mar), 423-457, 2008	88	2008
How to reach linguistic consensus: A proof of convergence for the naming game B De Vylder, K Tuyls Journal of theoretical biology 242 (4), 818-831, 2006	86	2006
Evolutionary game theory and multi-agent reinforcement learning K Tuyls, A Nowé The Knowledge Engineering Review 20 (1), 63-90, 2005	86	2005
Multi-robot collision avoidance with localization uncertainty. D Hennes, D Claes, W Meeussen, K Tuyls AAMAS, 147-154, 2012	81	2012
The mechanics of n-player differentiable games D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, T Graepel arXiv preprint arXiv:1802.05642, 2018	76	2018
The evolutionary language game: An orthogonal approach T Lenaerts, B Jansen, K Tuyls, B De Vylder Journal of Theoretical Biology 235 (4), 566-582, 2005	70	2005
Efficient optical flow and stereo vision for velocity estimation and obstacle avoidance on an autonomous pocket drone K McGuire, G De Croon, C De Wagter, K Tuyls, H Kappen IEEE Robotics and Automation Letters 2 (2), 1070-1076, 2017	66	2017
Frequency adjusted multi-agent Q-learning M Kaisers, K Tuyls Proceedings of the 9th International Conference on Autonomous Agents and …, 2010	65	2010
Third sector research R Taylor Springer, 2010	63	2010
An overview of cooperative and competitive multiagent learning P Jan’t Hoen, K Tuyls, L Panait, S Luke, JA La Poutre International Workshop on Learning and Adaption in Multi-Agent Systems, 1-46, 2005	63	2005
A multi-agent reinforcement learning model of common-pool resource appropriation J Perolat, JZ Leibo, V Zambaldi, C Beattie, K Tuyls, T Graepel Advances in Neural Information Processing Systems, 3643-3652, 2017	62	2017

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