Goal-Conditioned Reinforcement Learning with Imagined Subgoals. - Elliot Chane-Sane; Cordelia Schmid; Ivan Laptev (ICML, 2021)

Learning Video-Conditioned Policies for Unseen Manipulation Tasks. - Elliot Chane-Sane; Cordelia Schmid; Ivan Laptev (ICRA, 2023)

Learning Multi-Task Policies for Robotics. (Apprentissage de politiques multi-tâches pour la robotique). - Elliot Chane-Sane (2023)

SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience. - Elliot Chane-Sane; Joseph Amigo; Thomas Flayols; Ludovic Righetti; Nicolas Mansard (CoRL, 2024)

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning. - Elliot Chane-Sane; Pierre-Alexandre Leziart; Thomas Flayols; Olivier Stasse; Philippe Souères; Nicolas Mansard (IROS, 2024)

Reinforcement Learning from Wild Animal Videos. - Elliot Chane-Sane; Constant Roux; Olivier Stasse; Nicolas Mansard (CoRR, 2024)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)

Constrained Reinforcement Learning for Unstable Point-Feet Bipedal Locomotion Applied to the Bolt Robot. - Constant Roux; Elliot Chane-Sane; Ludovic De Matteïs; Thomas Flayols; Jérôme Manhes; Olivier Stasse; Philippe Souères (CoRR, 2025)