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Karl Tuyls
Karl Tuyls
Research Scientist, Google DeepMind and Professor of computer science, University of Liverpool
Verified email at google.com - Homepage
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Cited by
Year
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
6152017
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
4532002
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 30, 2017
4192017
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
309*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
2392015
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
2182018
Multiagent learning: Basics, challenges, and prospects
K Tuyls, G Weiss
Ai Magazine 33 (3), 41-41, 2012
1912012
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
1662006
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
1502017
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
1482018
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
1472003
Lenient multi-agent deep reinforcement learning
G Palmer, K Tuyls, D Bloembergen, R Savani
arXiv preprint arXiv:1707.04402, 2017
1462017
What evolutionary game theory tells us about multiagent learning
K Tuyls, S Parsons
Artificial Intelligence 171 (7), 406-416, 2007
1462007
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
1392006
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 30, 2017
1362017
Multi-robot collision avoidance with localization uncertainty.
D Hennes, D Claes, W Meeussen, K Tuyls
AAMAS, 147-154, 2012
1332012
Inequity aversion improves cooperation in intertemporal social dilemmas
E Hughes, JZ Leibo, M Phillips, K Tuyls, E Dueñez-Guzman, ...
Advances in neural information processing systems 31, 2018
1232018
Evolutionary game theory and multi-agent reinforcement learning
K Tuyls, A Nowé
The Knowledge Engineering Review 20 (1), 63-90, 2005
1212005
Emergent communication through negotiation
K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark
arXiv preprint arXiv:1804.03980, 2018
1192018
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
1102008
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