| 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 | 40 | 2020 |
| 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 | 13 | 2021 |
| 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 | 12 | 2021 |
| Targeted attacks on deep reinforcement learning agents through adversarial observations L Hussenot, M Geist, O Pietquin ICML Workshop, 2020 | 11 | 2020 |
| 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 | 10 | 2019 |
| 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 | 7 | 2020 |
| Hyperparameter Selection for Imitation Learning L Hussenot, M Andrychowicz, D Vincent, R Dadashi, A Raichuk, ... International Conference on Machine Learning (ICML), 2021, 2021 | 5 | 2021 |
| Offline Reinforcement Learning as Anti-Exploration S Rezaeifar, R Dadashi, N Vieillard, L Hussenot, O Bachem, O Pietquin, ... AAAI 2022, 2021 | 4 | 2021 |
| 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 | 2 | 2021 |
| 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 |
Olivier PietquinGoogle Brain (On leave of Professor at University of Lille - CRIStAL - SequeL team)E-mail confirmado em univ-lille.fr
