How to Reduce Computation Time While Sparing Performance During Robot Navigation? A Neuro-Inspired Architecture for Autonomous Shifting Between Model-Based and Model-Free Learning. - Rémi Dromnelle; Erwan Renaudo; Guillaume Pourcel; Raja Chatila 001; Benoît Girard 001; Mehdi Khamassi (Living Machines, 2020)

Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies. - Rémi Dromnelle; Benoît Girard 001; Erwan Renaudo; Raja Chatila 001; Mehdi Khamassi (RO-MAN, 2020)

Architecture cognitive générique pour la coordination de stratégies d'apprentissage en robotique. (Generic cognitive architecture for the coordination of learning strategies in robotics). - Rémi Dromnelle (2021)

Model-Based and Model-Free Replay Mechanisms for Reinforcement Learning in Neurorobotics. - Elisa Massi; Jeanne Barthélemy; Juliane Mailly; Rémi Dromnelle; Julien Canitrot; Esther Poniatowski; Benoît Girard 001; Mehdi Khamassi (Frontiers Neurorobotics, 2022)

Reducing Computational Cost During Robot Navigation and Human-Robot Interaction with a Human-Inspired Reinforcement Learning Architecture. - Rémi Dromnelle; Erwan Renaudo; Mohamed Chetouani; Petros Maragos; Raja Chatila 001; Benoît Girard 001; Mehdi Khamassi (Int. J. Soc. Robotics, 2023)