متابعة
Rémi Munos
Rémi Munos
FAIR, Meta
بريد إلكتروني تم التحقق منه على inria.fr - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Bootstrap your own latent-a new approach to self-supervised learning‏
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...‏
Advances in neural information processing systems 33, 21271-21284, 2020‏
73922020
A distributional perspective on reinforcement learning‏
MG Bellemare, W Dabney, R Munos‏
International conference on machine learning, 449-458, 2017‏
19812017
Unifying count-based exploration and intrinsic motivation‏
M Bellemare, S Srinivasan, G Ostrovski, T Schaul, D Saxton, R Munos‏
Advances in neural information processing systems 29, 2016‏
18172016
Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures‏
L Espeholt, H Soyer, R Munos, K Simonyan, V Mnih, T Ward, Y Doron, ...‏
International conference on machine learning, 1407-1416, 2018‏
17752018
Learning to reinforcement learn‏
JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ...‏
arXiv preprint arXiv:1611.05763, 2016‏
11192016
Sample efficient actor-critic with experience replay‏
Z Wang, V Bapst, N Heess, V Mnih, R Munos, K Kavukcuoglu, ...‏
arXiv preprint arXiv:1611.01224, 2016‏
10642016
Best arm identification in multi-armed bandits‏
JY Audibert, S Bubeck‏
COLT-23th Conference on learning theory-2010, 13 p., 2010‏
10052010
Distributional reinforcement learning with quantile regression‏
W Dabney, M Rowland, M Bellemare, R Munos‏
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018‏
9442018
Minimax regret bounds for reinforcement learning‏
MG Azar, I Osband, R Munos‏
International conference on machine learning, 263-272, 2017‏
8992017
Exploration–exploitation tradeoff using variance estimates in multi-armed bandits‏
JY Audibert, R Munos, C Szepesvári‏
Theoretical Computer Science 410 (19), 1876-1902, 2009‏
8142009
Thompson sampling: An asymptotically optimal finite-time analysis‏
E Kaufmann, N Korda, R Munos‏
International conference on algorithmic learning theory, 199-213, 2012‏
8062012
Count-based exploration with neural density models‏
G Ostrovski, MG Bellemare, A Oord, R Munos‏
International conference on machine learning, 2721-2730, 2017‏
7722017
Safe and efficient off-policy reinforcement learning‏
R Munos, T Stepleton, A Harutyunyan, M Bellemare‏
Advances in neural information processing systems 29, 2016‏
7502016
Successor features for transfer in reinforcement learning‏
A Barreto, W Dabney, R Munos, JJ Hunt, T Schaul, HP van Hasselt, ...‏
Advances in neural information processing systems 30, 2017‏
6952017
Finite-Time Bounds for Fitted Value Iteration.‏
R Munos, C Szepesvári‏
Journal of Machine Learning Research 9 (5), 2008‏
6722008
Implicit quantile networks for distributional reinforcement learning‏
W Dabney, G Ostrovski, D Silver, R Munos‏
International conference on machine learning, 1096-1105, 2018‏
6682018
Automated curriculum learning for neural networks‏
A Graves, MG Bellemare, J Menick, R Munos, K Kavukcuoglu‏
international conference on machine learning, 1311-1320, 2017‏
6602017
Pure exploration in multi-armed bandits problems‏
S Bubeck, R Munos, G Stoltz‏
Algorithmic Learning Theory: 20th International Conference, ALT 2009, Porto …, 2009‏
6432009
Recurrent experience replay in distributed reinforcement learning‏
S Kapturowski, G Ostrovski, J Quan, R Munos, W Dabney‏
International conference on learning representations, 2018‏
6002018
Maximum a posteriori policy optimisation‏
A Abdolmaleki, JT Springenberg, Y Tassa, R Munos, N Heess, ...‏
arXiv preprint arXiv:1806.06920, 2018‏
5542018
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20