General Framework for the Optimization of the Human-Robot Collaboration Decision-Making Process Through the Ability to Change Performance Metrics. - Mélodie Hani Daniel Zakaria; Sébastien Lengagne; Juan Antonio Corrales Ramon; Youcef Mezouar (Frontiers Robotics AI, 2021)

Robotic Control of the Deformation of Soft Linear Objects Using Deep Reinforcement Learning. - Mélodie Hani Daniel Zakaria; Miguel Aranda; Laurent Lequievre; Sébastien Lengagne; Juan Antonio Corrales Ramon; Youcef Mezouar (CASE, 2022)

FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and Forecasting. - Clément Gaspard; Grégoire Passault; Mélodie Daniel; Olivier Ly (IROS, 2024)

FRASA: An End-to-End Reinforcement Learning Agent for Fall Recovery and Stand Up of Humanoid Robots. - Clément Gaspard; Marc Duclusaud; Grégoire Passault; Mélodie Daniel; Olivier Ly (CoRR, 2024)

Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects. - Mélodie Daniel; Aly Magassouba; Miguel Aranda; Laurent Lequièvre; Juan Antonio Corrales Ramon; Roberto Iglesias Rodriguez; Youcef Mezouar (IEEE Robotics Autom. Lett., 2024)