Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. - Shengyi Huang; Quentin Gallouédec; Florian Felten; Antonin Raffin; Rousslan Fernand Julien Dossa; Yanxiao Zhao; Ryan Sullivan; Viktor Makoviychuk; Denys Makoviichuk; Mohamad H. Danesh; Cyril Roumégous; Jiayi Weng; et al. (CoRR, 2024)

V-Max: Making RL practical for Autonomous Driving. - Valentin Charraut; Thomas Tournaire; Waël Doulazmi; Thibault Buhet (CoRR, 2025)

Multiple-Frequencies Population-Based Training. - Waël Doulazmi; Auguste Lehuger; Marin Toromanoff; Valentin Charraut; Thibault Buhet; Fabien Moutarde (CoRR, 2025)