Следене
Sébastien Racanière
Sébastien Racanière
Staff Research Engineer, DeepMind
Потвърден имейл адрес: google.com
Заглавие
Позовавания
Позовавания
Година
Imagination-augmented agents for deep reinforcement learning
S Racanière, T Weber, D Reichert, L Buesing, A Guez, ...
Advances in neural information processing systems 30, 2017
583*2017
Towards a definition of disentangled representations
I Higgins, D Amos, D Pfau, S Racaniere, L Matthey, D Rezende, ...
arXiv preprint arXiv:1812.02230, 2018
3652018
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
2632018
Recurrent environment simulators
S Chiappa, S Racaniere, D Wierstra, S Mohamed
arXiv preprint arXiv:1704.02254, 2017
1942017
Hamiltonian generative networks
P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins
arXiv preprint arXiv:1909.13789, 2019
1612019
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
1522020
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
1202018
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
1092018
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
1092017
Sampling using gauge equivariant flows
D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
1082021
Normalizing flows on tori and spheres
DJ Rezende, G Papamakarios, S Racaniere, M Albergo, G Kanwar, ...
International Conference on Machine Learning, 8083-8092, 2020
972020
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
732019
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
732019
Automated curricula through setter-solver interactions
S Racaniere, AK Lampinen, A Santoro, DP Reichert, V Firoiu, TP Lillicrap
arXiv preprint arXiv:1909.12892, 2019
662019
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
532012
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
522020
Equivariant hamiltonian flows
DJ Rezende, S Racanière, I Higgins, P Toth
arXiv preprint arXiv:1909.13739, 2019
492019
Accelerating large-scale HPC Applications using FPGAs
R Dimond, S Racaniere, O Pell
2011 IEEE 20th Symposium on Computer Arithmetic, 191-192, 2011
462011
Flow-based sampling for fermionic lattice field theories
MS Albergo, G Kanwar, S Racaniere, DJ Rezende, JM Urban, D Boyda, ...
Physical Review D 104 (11), 114507, 2021
332021
Introduction to normalizing flows for lattice field theory
MS Albergo, D Boyda, DC Hackett, G Kanwar, K Cranmer, S Racaniere, ...
arXiv preprint arXiv:2101.08176, 2021
232021
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