Unsupervised Behaviour Discovery with Quality-Diversity Optimisation. - Luca Grillotti; Antoine Cully (CoRR, 2021)

Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms. - Luca Grillotti; 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)

Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. - Bryan Lim; Luca Grillotti; Lorenzo Bernasconi; Antoine Cully (ICRA, 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)

Discovering Unsupervised Behaviours from Full-State Trajectories. - Luca Grillotti; Antoine Cully (CoRR, 2022)

Unsupervised Behavior Discovery With Quality-Diversity Optimization. - Luca Grillotti; Antoine Cully (IEEE Trans. Evol. Comput., 2022)

Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. - Manon Flageat; Luca Grillotti; Antoine Cully (GECCO Companion, 2023)

Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms. - Luca Grillotti; Antoine Cully (GECCO Companion, 2023)

Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. - Luca Grillotti; Manon Flageat; Bryan Lim; Antoine Cully (GECCO, 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)

Quality with Just Enough Diversity in Evolutionary Policy Search. - Paul Templier; Luca Grillotti; Emmanuel Rachelson; Dennis Wilson; Antoine Cully (GECCO, 2024)

Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics. - Luca Grillotti; Maxence Faldor; Borja G. León; Antoine Cully (ICML, 2024)

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)

Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity. - Ryan Bahlous-Boldi; Maxence Faldor; Luca Grillotti; Hannah Janmohamed; Lisa Coiffard; Lee Spector; Antoine Cully (GECCO, 2025)