Rémi Munos - Concepedia

Author

Rémi Munos

Also Known As

Bart De Schutter, Branislav Kveton, Buesing, Lars, Claude Sammut, Clerc, Maureen, Csaba Szepesvári, Hal Id Hal, Inria Lille, Munos Remi, Munos, R.

290

Publications

17.5K

Citations

H-Index

113

Concepts

All Affiliations

Google (United States)Institut national de recherche en sciences et technologies du numérique Google DeepMind (United Kingdom)Centre Inria de l'Université de Lille Centre de Mathématiques Appliquées de l'École polytechnique

About

Rémi Munos is an author at Google (United States) specializing in engineering, computer science, and artificial intelligence.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	42	78	11.8K
2	Business	10	11	780
3	Education	10	10	1.4K
4	Management	8	8	840
5	Public Health	1	1	252

Rémi Munos

135

Publications

15.7K

Citations

H-Index

Page 1

	Year	Citations
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill, Florian Strub, Florent Altché, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningConvolutional Neural NetworkEngineeringMachine Learning	2020	3.4K
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures Lasse Espeholt, Hubert Soyer, Rémi Munos, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDistributed Ai SystemMulti-agent Learning	2018	610
Exploration–exploitation tradeoff using variance estimates in multi-armed bandits Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári Theoretical Computer Science EngineeringExploration–exploitation TradeoffStatisticsExploration V ExploitationOperations Research	2009	555
Distributional Reinforcement Learning With Quantile Regression Will Dabney, Mark Rowland, Marc G. Bellemare, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningGame TheoryValue Function Approximation	2018	483
A distributional code for value in dopamine-based reinforcement learning Will Dabney, Zeb Kurth‐Nelson, Naoshige Uchida, Nature Distributional CodeComputational NeuroscienceNeuroeconomicsSequential Decision MakingNeuroscience	2020	450
Noisy Networks for Exploration Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDeep ReinforcementEducation	2017	387
Variable Resolution Discretization in Optimal Control Rémi Munos, Andrew Moore Machine Learning	2002	325
Modiﬁcation of UCT with Patterns in Monte-Carlo Go Sylvain Gelly, Yizao Wang, Rémi Munos, HAL (Le Centre pour la Communication Scientifique Directe) Artificial IntelligenceEngineeringMachine LearningMonte Carlo MethodsData Science	2006	293
Noisy Networks For Exploration Meire Fortunato, Mohammad Gheshlaghi Azar, Bilal Piot, arXiv (Cornell University) Artificial IntelligenceReward HackingInteractive Machine LearningMachine LearningDeep Reinforcement	2018	272
Recurrent Experience Replay in Distributed Reinforcement Learning. Steven Kapturowski, Georg Ostrovski, John Quan, International Conference on Learning Representations Artificial IntelligenceEngineeringMachine LearningReinforcement Learning (Computer Engineering)Deep Reinforcement Learning	2018	267

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