Sébastien Racanière
Sébastien Racanière
Staff Research Engineer, DeepMind
Verified email at google.com
Cited by
Cited by
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, DJ Rezende, ...
Advances in neural information processing systems, 5690-5701, 2017
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
arXiv preprint arXiv:1704.02254, 2017
The mechanics of n-player differentiable games
D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, T Graepel
arXiv preprint arXiv:1802.05642, 2018
Towards a definition of disentangled representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
Learning model-based planning from scratch
R Pascanu, Y Li, O Vinyals, N Heess, L Buesing, S Racanière, D Reichert, ...
arXiv preprint arXiv:1707.06170, 2017
Learning and querying fast generative models for reinforcement learning
L Buesing, T Weber, S Racaniere, SM Eslami, D Rezende, DP Reichert, ...
arXiv preprint arXiv:1802.03006, 2018
Rapid computation of value and risk for derivatives portfolios
S Weston, J Spooner, S Racanière, O Mencer
Concurrency and Computation: Practice and Experience 24 (8), 880-894, 2012
Woulda, coulda, shoulda: Counterfactually-guided policy search
L Buesing, T Weber, Y Zwols, S Racaniere, A Guez, JB Lespiau, N Heess
arXiv preprint arXiv:1811.06272, 2018
Accelerating large-scale HPC Applications using FPGAs
R Dimond, S Racaniere, O Pell
2011 IEEE 20th Symposium on Computer Arithmetic, 191-192, 2011
Hamiltonian generative networks
P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins
arXiv preprint arXiv:1909.13789, 2019
An investigation of model-free planning
A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ...
arXiv preprint arXiv:1901.03559, 2019
Differentiable Game Mechanics.
A Letcher, D Balduzzi, S Racaniere, J Martens, JN Foerster, K Tuyls, ...
J. Mach. Learn. Res. 20, 84:1-84:40, 2019
Equivariant hamiltonian flows
DJ Rezende, S Racanière, I Higgins, P Toth
arXiv preprint arXiv:1909.13739, 2019
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racanière, MS Albergo, G Kanwar, ...
arXiv preprint arXiv:2002.02428, 2020
Automated curricula through setter-solver interactions
S Racaniere, AK Lampinen, A Santoro, DP Reichert, V Firoiu, TP Lillicrap
arXiv preprint arXiv:1909.12892, 2019
Kirwan map and moduli space of flat connections
S Racanière
arXiv preprint math/0306341, 2003
Restriction map in a regular reduction of
S Racaniere
Commentarii Mathematici Helvetici 78 (2), 394-417, 2003
Equivariant flow-based sampling for lattice gauge theory
G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racanière, ...
arXiv preprint arXiv:2003.06413, 2020
Cohomologie équivariante de SU (n) 2g et application de Kirwan
S Racanière
Comptes Rendus de l'Académie des Sciences-Series I-Mathematics 333 (2), 103-108, 2001
An FPGA-based data flow engine for Gaussian Copula Model
H Ruan, X Huang, H Fu, G Yang, W Luk, S Racaniere, O Pell, W Han
2013 IEEE 21st Annual International Symposium on Field-Programmable Custom …, 2013
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