Karl Tuyls
Karl Tuyls
Research Scientist, Google DeepMind and Professor of computer science, University of Liverpool
Email verificata su google.com - Home page
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Citata da
Citata da
Anno
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
4922017
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
4312002
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
3822017
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
279*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
2192015
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
2052018
Multiagent learning: Basics, challenges, and prospects
K Tuyls, G Weiss
Ai Magazine 33 (3), 41-41, 2012
1802012
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
1622006
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
1422017
What evolutionary game theory tells us about multiagent learning
K Tuyls, S Parsons
Artificial Intelligence 171 (7), 406-416, 2007
1412007
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
1372003
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
1352006
Lenient multi-agent deep reinforcement learning
G Palmer, K Tuyls, D Bloembergen, R Savani
arXiv preprint arXiv:1707.04402, 2017
1342017
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
1322018
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
1262017
Multi-robot collision avoidance with localization uncertainty.
D Hennes, D Claes, W Meeussen, K Tuyls
AAMAS, 147-154, 2012
1242012
Evolutionary game theory and multi-agent reinforcement learning
K Tuyls, A Nowé
The Knowledge Engineering Review 20 (1), 63-90, 2005
1182005
Emergent communication through negotiation
K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark
arXiv preprint arXiv:1804.03980, 2018
1082018
Inequity aversion improves cooperation in intertemporal social dilemmas
E Hughes, JZ Leibo, MG Phillips, K Tuyls, EA Duéñez-Guzmán, ...
arXiv preprint arXiv:1803.08884, 2018
1042018
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
1042008
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20