Rémi Leblond
Rémi Leblond
Research Scientist, DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
782019
ASAGA: asynchronous parallel SAGA
R Leblond, F Pedregosa, S Lacoste-Julien
AISTATS 2017, 2016
752016
Breaking the nonsmooth barrier: A scalable parallel method for composite optimization
F Pedregosa, R Leblond, S Lacoste-Julien
Advances in Neural Information Processing Systems, 56-65, 2017
242017
Improved asynchronous parallel optimization analysis for stochastic incremental methods
R Leblond, F Pedregosa, S Lacoste-Julien
JMLR, 2018
222018
SEARNN: Training RNNs with global-local losses
R Leblond, JB Alayrac, A Osokin, S Lacoste-Julien
ICLR 2018, 2017
192017
Cutoff phenomenon for the simple exclusion process on the complete graph
H Lacoin, R Leblond
ALEA 2011, 2010
92010
Options as responses: Grounding behavioural hierarchies in multi-agent RL
AS Vezhnevets, Y Wu, R Leblond, J Leibo
arXiv preprint arXiv:1906.01470, 2019
2019
Options as responses: Grounding behavioural hierarchies in multi-agent RL
A Sasha Vezhnevets, Y Wu, R Leblond, JZ Leibo
arXiv preprint arXiv:1906.01470, 2019
2019
Asynchronous optimization for machine learning
R Leblond
Paris Sciences et Lettres, 2018
2018
Asynchronous Optimization for Machine Learning
R Leblond
2018
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Articles 1–10