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 | 378 | 2002 |
A unified game-theoretic approach to multiagent reinforcement learning M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ... arXiv preprint arXiv:1711.00832, 2017 | 269 | 2017 |
Value-decomposition networks for cooperative multi-agent learning P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ... arXiv preprint arXiv:1706.05296, 2017 | 251 | 2017 |
Deep reinforcement learning with relational inductive biases V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ... International Conference on Learning Representations, 2018 | 194* | 2018 |
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 | 188 | 2015 |
Inference of concise DTDs from XML data GJ Bex, F Neven, T Schwentick, K Tuyls Proceedings of the 32nd international conference on Very large data bases …, 2006 | 158 | 2006 |
Multiagent learning: Basics, challenges, and prospects K Tuyls, G Weiss Ai Magazine 33 (3), 41-41, 2012 | 148 | 2012 |
The mechanics of n-player differentiable games D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, T Graepel International Conference on Machine Learning, 354-363, 2018 | 142 | 2018 |
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 | 132 | 2003 |
What evolutionary game theory tells us about multiagent learning K Tuyls, S Parsons Artificial Intelligence 171 (7), 406-416, 2007 | 131 | 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 | 122 | 2006 |
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 | 108 | 2017 |
Multi-robot collision avoidance with localization uncertainty. D Hennes, D Claes, W Meeussen, K Tuyls AAMAS, 147-154, 2012 | 106 | 2012 |
Evolutionary game theory and multi-agent reinforcement learning K Tuyls11, A Nowé | 105 | 2005 |
Theoretical advantages of lenient learners: An evolutionary game theoretic perspective L Panait, K Tuyls, S Luke The Journal of Machine Learning Research 9, 423-457, 2008 | 99 | 2008 |
Emergence of linguistic communication from referential games with symbolic and pixel input A Lazaridou, KM Hermann, K Tuyls, S Clark arXiv preprint arXiv:1804.03984, 2018 | 95 | 2018 |
A multi-agent reinforcement learning model of common-pool resource appropriation J Perolat, JZ Leibo, V Zambaldi, C Beattie, K Tuyls, T Graepel arXiv preprint arXiv:1707.06600, 2017 | 95 | 2017 |
Lenient multi-agent deep reinforcement learning G Palmer, K Tuyls, D Bloembergen, R Savani arXiv preprint arXiv:1707.04402, 2017 | 94 | 2017 |
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 | 89 | 2006 |
Third sector research R Taylor Springer, 2010 | 83 | 2010 |