Imperial College London


Faculty of EngineeringDepartment of Computing

Senior Lecturer



+44 (0)20 7594 8204a.cully Website




354ACE ExtensionSouth Kensington Campus






Grillotti L, Cully A, 2022, Unsupervised behaviour discovery with quality-diversity optimisation, Ieee Transactions on Evolutionary Computation, Vol:26, ISSN:1089-778X, Pages:1539-1552


Cretu A-M, Houssiau F, Cully A, et al., 2022, QuerySnout: automating the discovery of attribute inference attacks against query-based systems, CCS '22: 2022 ACM SIGSAC Conference on Computer and Communications Security, ACM, Pages:623-637

Lim BWT, Grillotti L, Bernasconi L, et al., 2022, Dynamics-aware quality-diversity for efficient learning of skill repertoires, IEEE International Conference on Robotics and Automation, IEEE, Pages:5360-5366

Lim B, Allard M, Grillotti L, et al., 2022, QDax: On the Benefits of Massive Parallelization for Quality-Diversity, Pages:128-131

Pierrot T, Macé V, Chalumeau F, et al., Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization, The Genetic and Evolutionary Computation Conference (GECCO)

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