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
741 * 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
598 2018 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
332 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
257 2020 Hamiltonian generative networks P Toth, DJ Rezende, A Jaegle, S Racanière, A Botev, I Higgins
arXiv preprint arXiv:1909.13789, 2019
257 2019 Recurrent environment simulators S Chiappa, S Racaniere, D Wierstra, S Mohamed
arXiv preprint arXiv:1704.02254, 2017
241 2017 Sampling using D Boyda, G Kanwar, S Racanière, DJ Rezende, MS Albergo, K Cranmer, ...
Physical Review D 103 (7), 074504, 2021
173 2021 Normalizing flows on tori and spheres DJ Rezende, G Papamakarios, S Racaniere, M Albergo, G Kanwar, ...
International Conference on Machine Learning, 8083-8092, 2020
173 2020 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
165 2018 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
145 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
126 2017 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
101 2019 Differentiable game mechanics A Letcher, D Balduzzi, S Racaniere, J Martens, J Foerster, K Tuyls, ...
Journal of Machine Learning Research 20 (84), 1-40, 2019
100 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), 2020
89 2020 Equivariant hamiltonian flows DJ Rezende, S Racanière, I Higgins, P Toth
arXiv preprint arXiv:1909.13739, 2019
70 2019 Flow-based sampling for fermionic lattice field theories MS Albergo, G Kanwar, S Racanière, DJ Rezende, JM Urban, D Boyda, ...
Physical Review D 104 (11), 114507, 2021
62 2021 Automated curricula through setter-solver interactions S Racaniere, AK Lampinen, A Santoro, DP Reichert, V Firoiu, TP Lillicrap
arXiv preprint arXiv:1909.12892, 2019
62 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
55 2012 Accelerating large-scale HPC Applications using FPGAs R Dimond, S Racaniere, O Pell
2011 IEEE 20th Symposium on Computer Arithmetic, 191-192, 2011
52 2011 Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions R Abbott, MS Albergo, D Boyda, K Cranmer, DC Hackett, G Kanwar, ...
Physical Review D 106 (7), 074506, 2022
49 2022 
Theophane WeberResearch Scientist at DeepMindE-mail megerősítve itt: google.com