Budgeted Reinforcement Learning in Continuous State Space. - Nicolas Carrara; Edouard Leurent; Romain Laroche; Tanguy Urvoy; Odalric-Ambrym Maillard; Olivier Pietquin (NeurIPS, 2019)

Scaling up budgeted reinforcement learning. - Nicolas Carrara; Edouard Leurent; Romain Laroche; Tanguy Urvoy; Odalric-Ambrym Maillard; Olivier Pietquin (CoRR, 2019)

Reinforcement learning for Dialogue Systems optimization with user adaptation. (Apprentissage par Renforcement pour l'optimisation des systèmes de dialogue via l'adaptation à l'utilisateur). - Nicolas Carrara (2019)

Microscopic Model-Based RL Approaches for Traffic Signal Control Generalize Better than Model-Free RL Approaches. - Parth Jaggi; Xiaoyu Wang; Nicolas Carrara; Scott Sanner; Baher Abdulhai (ITSC, 2021)