Rémi Leblond
Rémi Leblond
Research Scientist, DeepMind
Adresse e-mail validée de google.com - Page d'accueil
Titre
Citée par
Citée par
Année
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
3742019
ASAGA: asynchronous parallel SAGA
R Leblond, F Pedregosa, S Lacoste-Julien
AISTATS 2017, 2016
892016
Improved asynchronous parallel optimization analysis for stochastic incremental methods
R Leblond, F Pedregosa, S Lacoste-Julien
JMLR, 2018
302018
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
302017
SEARNN: Training RNNs with global-local losses
R Leblond, JB Alayrac, A Osokin, S Lacoste-Julien
ICLR 2018, 2017
262017
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 Reinforcement Learning
A Vezhnevets, Y Wu, M Eckstein, R Leblond, JZ Leibo
ICML, 2020
4*2020
Asynchronous optimization for machine learning
R Leblond
PSL Research University, 2018
2018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–8