Joel Z Leibo

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TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLVerified email at ucl.ac.uk
Edward HughesStaff Research Engineer, DeepMindVerified email at google.com
Marc LanctotResearch Scientist, Google DeepMindVerified email at google.com
Wojciech Marian CzarneckiIsomorphic LabsVerified email at google.com
Matthew BotvinickDeepMind, London, UKVerified email at google.com
Charlie BeattieSoftware Engineer, DeepMindVerified email at google.com
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Tom SchaulSenior Staff Scientist, DeepMindVerified email at nyu.edu
Fabio AnselmiAssistant professor at University of Trieste, MIT affiliateVerified email at units.it
Edgar A. Duéñez-GuzmánDeepMindVerified email at oeb.harvard.edu
Max JaderbergIsomorphic LabsVerified email at robots.ox.ac.uk
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at unige.it
Jane X. WangStaff Research Scientist, DeepMindVerified email at google.com
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org
David SilverDeepMind, UCLVerified email at google.com
Dharshan KumaranGoogle DeepMindVerified email at fil.ion.ucl.ac.uk
Charles BlundellResearch Scientist at DeepMindVerified email at google.com
Vinicius ZambaldiGoogle DeepmindVerified email at google.com
Kevin R. McKeeResearch Scientist, DeepMindVerified email at deepmind.com

Joel Z Leibo

Research scientist

Verified email at google.com - Homepage

Multi-Agent Reinforcement Learning Machine Learning Deep Reinforcement Learning Computational Neuroscience Vision


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Reinforcement learning with unsupervised auxiliary tasks M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ... arXiv preprint arXiv:1611.05397, 2016	1071	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	789	2018
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	776	2017
Learning to reinforcement learn JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ... arXiv preprint arXiv:1611.05763, 2016	740	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	626	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	542	2017
Deepmind lab C Beattie, JZ Leibo, D Teplyashin, T Ward, M Wainwright, H Küttler, ... arXiv preprint arXiv:1612.03801, 2016	431	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	411	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	281*	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	233*	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	228	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	182	2016
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	154	2018
Learning from demonstrations for real world reinforcement learning T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, A Sendonaris, ...	150	2017
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	150	2017
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	140	2018
Emergent communication through negotiation K Cao, A Lazaridou, M Lanctot, JZ Leibo, K Tuyls, S Clark arXiv preprint arXiv:1804.03980, 2018	134	2018
Unsupervised learning of invariant representations F Anselmi, JZ Leibo, L Rosasco, J Mutch, A Tacchetti, T Poggio Theoretical Computer Science 633, 112-121, 2016	119	2016
How important is weight symmetry in backpropagation? Q Liao, J Leibo, T Poggio Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	115	2016
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	88	2020

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