Adil Zouitine — accepted AI-conference papers

2026

LeRobot: An Open-Source Library for End-to-End Robot Learning

Remi Cadene, Simon Alibert, Francesco Capuano, Michel Aractingi, Adil Zouitine, Pepijn Kooijmans +11

ICLR 2026poster

Robotics is undergoing a significant transformation powered by advances in high-level control techniques based on machine learning, giving rise to the field of robot learning. Recent progress in robot learning has been accelerated by the increasing availability of affordable teleoperation systems, l…

Cited by 0 Source ↗code ↗Scholar ↗

2024

Time-Constrained Robust MDPs

Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson

NeurIPS 2024poster

Robust reinforcement learning is essential for deploying reinforcement learning algorithms in real-world scenarios where environmental uncertainty predominates. Traditional robust reinforcement learning often depends on rectangularity assumptions, where adverse probability measures of outcome states…

Cited by 1 Source ↗PDF ↗Scholar ↗

2022

Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning

David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson

NeurIPS 2022accept

Deep reinforcement learning policies, despite their outstanding efficiency in simulated visual control tasks, have shown disappointing ability to generalize across disturbances in the input training images. Changes in image statistics or distracting background elements are pitfalls that prevent gen…

Cited by 42 Source ↗PDF ↗code ↗Scholar ↗