Joel Z Leibo

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Citations	11769	10830
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i10-index	61	53

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Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLVerified email at ucl.ac.uk
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Edward HughesStaff Research Engineer, DeepMindVerified email at google.com
Marc LanctotResearch Scientist, DeepMindVerified email at google.com
Edgar A. Duéñez-GuzmánGoogle DeepMindVerified email at oeb.harvard.edu
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Wojciech Marian Czarnecki.Verified email at google.com
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonVerified email at google.com
Charlie BeattieSoftware Engineer, DeepMindVerified email at google.com
Peter SunehagGoogle - DeepMindVerified email at google.com
Tom SchaulSenior Staff Scientist, DeepMindVerified email at nyu.edu
Audrūnas GruslysVerified email at gruslys.com
Kevin R. McKeeStaff Research Scientist, DeepMindVerified email at deepmind.com
Jane X. WangStaff Research Scientist, DeepMindVerified email at google.com
Max JaderbergHead of ML, Isomorphic LabsVerified email at robots.ox.ac.uk
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateVerified email at units.it
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Dharshan KumaranGoogle DeepMindVerified email at fil.ion.ucl.ac.uk
Vinicius ZambaldiGoogle DeepmindVerified email at google.com
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org

Joel Z Leibo

Research scientist

Verified email at google.com - Homepage

Cooperation in AI & Neuroscience Multi-Agent Reinforcement Learning Machine Learning


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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	1349	2017
Reinforcement learning with unsupervised auxiliary tasks M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ... arXiv preprint arXiv:1611.05397, 2016	1287	2016
Deep q-learning from demonstrations T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ... Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	1230*	2018
Learning to reinforcement learn JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ... arXiv preprint arXiv:1611.05763, 2016	959	2016
Human-level performance in 3D multiplayer games with population-based reinforcement learning M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ... Science 364 (6443), 859-865, 2019	825	2019
Multi-agent reinforcement learning in sequential social dilemmas JZ Leibo, V Zambaldi, M Lanctot, J Marecki, T Graepel arXiv preprint arXiv:1702.03037, 2017	822	2017
Deepmind lab C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H Küttler, ... arXiv preprint arXiv:1612.03801, 2016	545	2016
Prefrontal cortex as a meta-reinforcement learning system JX Wang, Z Kurth-Nelson, D Kumaran, D Tirumala, H Soyer, JZ Leibo, ... Nature neuroscience 21 (6), 860-868, 2018	544	2018
Social influence as intrinsic motivation for multi-agent deep reinforcement learning N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, DJ Strouse, ... International conference on machine learning, 3040-3049, 2019	442*	2019
Model-free episodic control C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ... arXiv preprint arXiv:1606.04460, 2016	271*	2016
The dynamics of invariant object recognition in the human visual system L Isik, EM Meyers, JZ Leibo, T Poggio Journal of neurophysiology 111 (1), 91-102, 2014	259	2014
Using fast weights to attend to the recent past J Ba, GE Hinton, V Mnih, JZ Leibo, C Ionescu Advances in neural information processing systems 29, 2016	233	2016
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	209	2018
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	197	2017
Unsupervised predictive memory in a goal-directed agent G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ... arXiv preprint arXiv:1803.10760, 2018	184	2018
Emergent communication through negotiation K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark arXiv preprint arXiv:1804.03980, 2018	170	2018
Open problems in cooperative AI A Dafoe, E Hughes, Y Bachrach, T Collins, KR McKee, JZ Leibo, K Larson, ... arXiv preprint arXiv:2012.08630, 2020	158	2020
How important is weight symmetry in backpropagation? Q Liao, J Leibo, T Poggio Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	149	2016
Unsupervised learning of invariant representations F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio Theoretical Computer Science 633, 112-121, 2016	138	2016
Kickstarting deep reinforcement learning S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ... arXiv preprint arXiv:1803.03835, 2018	120	2018

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