no code implementations • 27 Mar 2024 • Elliot Chane-Sane, Pierre-Alexandre Leziart, Thomas Flayols, Olivier Stasse, Philippe Souères, Nicolas Mansard
In this work, we advocate for integrating constraints into robot learning and present Constraints as Terminations (CaT), a novel constrained RL algorithm.
no code implementations • 10 May 2023 • Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev
To encourage generalization to new tasks, we avoid particular tasks during training and learn our policy from unlabelled robot trajectories and corresponding robot videos.
no code implementations • 1 Jul 2021 • Elliot Chane-Sane, Cordelia Schmid, Ivan Laptev
Goal-conditioned reinforcement learning endows an agent with a large variety of skills, but it often struggles to solve tasks that require more temporally extended reasoning.