עקוב אחר
Karl Tuyls
Karl Tuyls
Research Scientist Meta AI, ex-Google DeepMind, Prof at University of Liverpool
כתובת אימייל מאומתת בדומיין meta.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
21172017
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
8382017
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
5982002
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, 2019‏
546*2019
Multiagent learning: Basics, challenges, and prospects‏
K Tuyls, G Weiss‏
Ai Magazine 33 (3), 41-41, 2012‏
4322012
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
3902015
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
3372018
OpenSpiel: A framework for reinforcement learning in games‏
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...‏
arXiv preprint arXiv:1908.09453, 2019‏
3062019
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
2872018
Mastering the game of Stratego with model-free multiagent reinforcement learning‏
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...‏
Science 378 (6623), 990-996, 2022‏
2732022
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
2712018
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment‏
KN McGuire, C De Wagter, K Tuyls, HJ Kappen, GCHE de Croon‏
Science Robotics 4 (35), eaaw9710, 2019‏
2662019
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
2482017
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
2472017
Lenient multi-agent deep reinforcement learning‏
G Palmer, K Tuyls, D Bloembergen, R Savani‏
arXiv preprint arXiv:1707.04402, 2017‏
2272017
Emergent communication through negotiation‏
K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark‏
arXiv preprint arXiv:1804.03980, 2018‏
2082018
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
1992003
What evolutionary game theory tells us about multiagent learning‏
K Tuyls, S Parsons‏
Artificial Intelligence 171 (7), 406-416, 2007‏
1972007
An evolutionary dynamical analysis of multi-agent learning in iterated games‏
K Tuyls, PJT Hoen, B Vanschoenwinkel‏
Autonomous Agents and Multi-Agent Systems 12, 115-153, 2006‏
1842006
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
1752006
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מאמרים 1–20