Budgeted reinforcement learning in continuous state space N Carrara, E Leurent, R Laroche, T Urvoy, OA Maillard, O Pietquin NeurIPS, 2019 | 23 | 2019 |
Microscopic model-based rl approaches for traffic signal control generalize better than model-free rl approaches P Jaggi, X Wang, N Carrara, S Sanner, B Abdulhai 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 7 | 2021 |
A Fitted-Q Algorithm for Budgeted MDPs N Carrara, R Laroche, JL Bouraoui, T Urvoy, O Pietquin European Workshop on Reinforcement Learning (EWRL 2018), 2018 | 7 | 2018 |
Online learning and transfer for user adaptation in dialogue systems N Carrara, R Laroche, O Pietquin SIGDIAL/SEMDIAL joint special session on negotiation dialog 2017, 2017 | 4 | 2017 |
Safe transfer learning for dialogue applications N Carrara, R Laroche, JL Bouraoui, T Urvoy, O Pietquin SLSP 2018-6th International Conference on Statistical Language and Speech …, 2018 | 3 | 2018 |
Reinforcement learning for Dialogue Systems optimization with user adaptation. N Carrara Ecole Doctoral Science pour l'Ingénieur Université Lille Nord-de-France, 2019 | 2 | 2019 |
Quantitative Global Market-Making N Carrara, B Arif https://ncarrara.fr/others/myrill-tech-report.pdf, 2022 | | 2022 |
Apprentissage par Renforcement pour l'optimisation des systèmes de dialogue via l'adaptation à l'utilisateur. N Carrara | | 2019 |