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, DP Reichert, L Buesing, A Guez, D Rezende, ...
Proceedings of the 31st International Conference on Neural Information …, 2017
The mechanics of n-player differentiable games
D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, T Graepel
International Conference on Machine Learning, 354-363, 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
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
arXiv preprint arXiv:1704.02254, 2017
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
Hamiltonian generative networks
P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins
arXiv preprint arXiv:1909.13789, 2019
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
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
Equivariant flow-based sampling for lattice gauge theory
G Kanwar, MS Albergo, D Boyda, K Cranmer, DC Hackett, S Racaniere, ...
Physical Review Letters 125 (12), 121601, 2020
An investigation of model-free planning
A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ...
International Conference on Machine Learning, 2464-2473, 2019
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
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racanière, M Albergo, G Kanwar, ...
International Conference on Machine Learning, 8083-8092, 2020
Accelerating large-scale HPC Applications using FPGAs
R Dimond, S Racaniere, O Pell
2011 IEEE 20th Symposium on Computer Arithmetic, 191-192, 2011
Differentiable game mechanics
A Letcher, D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, ...
The Journal of Machine Learning Research 20 (1), 3032-3071, 2019
Automated curriculum generation through setter-solver interactions
S Racaniere, A Lampinen, A Santoro, D Reichert, V Firoiu, T Lillicrap
International Conference on Learning Representations, 2019
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
Equivariant hamiltonian flows
DJ Rezende, S Racanière, I Higgins, P Toth
arXiv preprint arXiv:1909.13739, 2019
Targeted free energy estimation via learned mappings
P Wirnsberger, AJ Ballard, G Papamakarios, S Abercrombie, S Racanière, ...
The Journal of Chemical Physics 153 (14), 144112, 2020
Disentangling by subspace diffusion
D Pfau, I Higgins, A Botev, S Racanière
arXiv preprint arXiv:2006.12982, 2020
Physically embedded planning problems: New challenges for reinforcement learning
M Mirza, A Jaegle, JJ Hunt, A Guez, S Tunyasuvunakool, A Muldal, ...
arXiv preprint arXiv:2009.05524, 2020
The system can't perform the operation now. Try again later.
Articles 1–20