Hierarchical quality-diversity for online damage recovery. - Maxime Allard; Simón C. Smith; Konstantinos I. Chatzilygeroudis; Antoine Cully (GECCO, 2022)

QDax: on the benefits of massive parallelization for quality-diversity. - Bryan Lim; Maxime Allard; Luca Grillotti; Antoine Cully (GECCO Companion, 2022)

Accelerated Quality-Diversity for Robotics through Massive Parallelism. - Bryan Lim; Maxime Allard; Luca Grillotti; Antoine Cully (CoRR, 2022)

Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. - Manon Flageat; Bryan Lim; Luca Grillotti; Maxime Allard; Simón C. Smith; Antoine Cully (CoRR, 2022)

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. - Félix Chalumeau; Raphaël Boige; Bryan Lim; Valentin Macé; Maxime Allard; Arthur Flajolet; Antoine Cully; Thomas Pierrot (ICLR, 2023)

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. - Félix Chalumeau; Bryan Lim; Raphaël Boige; Maxime Allard; Luca Grillotti; Manon Flageat; Valentin Macé; Arthur Flajolet; Thomas Pierrot; Antoine Cully (CoRR, 2023)

Accelerated Quality-Diversity through Massive Parallelism. - Bryan Lim; Maxime Allard; Luca Grillotti; Antoine Cully (Trans. Mach. Learn. Res., 2023)

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. - Maxime Allard; Simón C. Smith; Konstantinos I. Chatzilygeroudis; Bryan Lim; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2023)

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. - Félix Chalumeau; Bryan Lim; Raphaël Boige; Maxime Allard; Luca Grillotti; Manon Flageat; Valentin Macé; Guillaume Richard; Arthur Flajolet; Thomas Pierrot; Antoine Cully (J. Mach. Learn. Res., 2024)

Helix-mRNA: A Hybrid Foundation Model For Full Sequence mRNA Therapeutics. - Matthew Wood; Mathieu Klop; Maxime Allard (CoRR, 2025)