Universal Adversarial Perturbations: Efficiency on a small image dataset. - Waris Radji (CoRR, 2022)

Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs. - Hector Kohler; Quentin Delfosse; Waris Radji; Riad Akrour; Philippe Preux (CoRR, 2025)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning. - Anthony Kobanda; Waris Radji; Mathieu Petitbois; Odalric-Ambrym Maillard; Rémy Portelas (CoRR, 2025)