Seguir
Léonard Hussenot
Léonard Hussenot
Google Research & Inria Scool
E-mail confirmado em google.com
Título
Citado por
Citado por
Ano
What matters for on-policy deep actor-critic methods? a largescale study
M Andrychowicz, A Raichuk, P Stanczyk, M Orsini, S Girgin, R Marinier, ...
International Conference on Learning Representations (ICLR), 2021, 2021
127*2021
Primal wasserstein imitation learning
R Dadashi, L Hussenot, M Geist, O Pietquin
International Conference on Learning Representations (ICLR), 2021, 2020
402020
What Matters for Adversarial Imitation Learning?
M Orsini*, A Raichuk*, L Hussenot*, D Vincent, R Dadashi, S Girgin, ...
NeurIPS 35th Conference on Neural Information Processing Systems, 2021
132021
Offline Reinforcement Learning with Pseudometric Learning
R Dadashi, S Rezaeifar, N Vieillard, L Hussenot, O Pietquin, M Geist
International Conference on Machine Learning (ICML), 2021, 2021
122021
Targeted attacks on deep reinforcement learning agents through adversarial observations
L Hussenot, M Geist, O Pietquin
ICML Workshop, 2020
112020
CopyCAT: Taking control of neural policies with constant attacks
L Hussenot, M Geist, O Pietquin
International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2019
102019
Show me the Way: Intrinsic Motivation from Demonstrations
L Hussenot, R Dadashi, M Geist, O Pietquin
International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2020
72020
Hyperparameter Selection for Imitation Learning
L Hussenot, M Andrychowicz, D Vincent, R Dadashi, A Raichuk, ...
International Conference on Machine Learning (ICML), 2021, 2021
52021
Offline Reinforcement Learning as Anti-Exploration
S Rezaeifar, R Dadashi, N Vieillard, L Hussenot, O Bachem, O Pietquin, ...
AAAI 2022, 2021
42021
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
S Ramos, S Girgin, L Hussenot, D Vincent, H Yakubovich, D Toyama, ...
arXiv preprint arXiv:2111.02767, 2021
22021
Learning Energy Networks with Generalized Fenchel-Young Losses
M Blondel, F Llinares-López, R Dadashi, L Hussenot, M Geist
arXiv preprint arXiv:2205.09589, 2022
2022
Continuous Control with Action Quantization from Demonstrations
R Dadashi*, L Hussenot*, D Vincent, S Girgin, A Raichuk, M Geist, ...
International Conference on Machine Learning (ICML), 2022, 2021
2021
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–12