Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. - Hannah Janmohamed; Thomas Pierrot; Antoine Cully (GECCO, 2023)

Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. - Simón C. Smith; Bryan Lim; Hannah Janmohamed; Antoine Cully (GECCO Companion, 2023)

Multi-Objective Quality-Diversity for Crystal Structure Prediction. - Hannah Janmohamed; Marta Wolinska; Shikha Surana; Thomas Pierrot; Aron Walsh; Antoine Cully (GECCO, 2024)

Exploring the Performance-Reproducibility Trade-off in Quality-Diversity. - Manon Flageat; Hannah Janmohamed; Bryan Lim; Antoine Cully (CoRR, 2024)

Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity. - Hannah Janmohamed; Maxence Faldor; Thomas Pierrot; Antoine Cully (CoRR, 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)

Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces. - Hannah Janmohamed; Antoine Cully (GECCO, 2025)