Antoine Cully

Antoine Cully

Imperial College London

H-index: 26

Europe-United Kingdom

About Antoine Cully

Antoine Cully, With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Robot Learning, Machine Learning, Quality-Diversity, Reinforcement Learning, Neuroevolution.

His recent articles reflect a diverse array of research interests and contributions to the field:

Qdax: A library for quality-diversity and population-based algorithms with hardware acceleration

Large Language Models as In-context AI Generators for Quality-Diversity

Multi-Objective Quality-Diversity for Crystal Structure Prediction

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms

Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics

Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms

Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors

Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains

Antoine Cully Information

University

Position

Lecturer at the

Citations(all)

3212

Citations(since 2020)

2662

Cited By

1367

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

35

i10Index(since 2020)

33

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Antoine Cully Skills & Research Interests

Robot Learning

Machine Learning

Quality-Diversity

Reinforcement Learning

Neuroevolution

Top articles of Antoine Cully

Title

Journal

Author(s)

Publication Date

Qdax: A library for quality-diversity and population-based algorithms with hardware acceleration

Journal of Machine Learning Research

Felix Chalumeau

Bryan Lim

Raphael Boige

Maxime Allard

Luca Grillotti

...

2024

Large Language Models as In-context AI Generators for Quality-Diversity

arXiv preprint arXiv:2404.15794

Bryan Lim

Manon Flageat

Antoine Cully

2024/4/24

Multi-Objective Quality-Diversity for Crystal Structure Prediction

arXiv preprint arXiv:2403.17164

Hannah Janmohamed

Marta Wolinska

Shikha Surana

Thomas Pierrot

Aron Walsh

...

2024/3/25

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms

Proceedings of the AAAI Conference on Artificial Intelligence

Manon Flageat

Bryan Lim

Antoine Cully

2024/3/24

Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics

arXiv preprint arXiv:2403.09930

Luca Grillotti

Maxence Faldor

Borja G León

Antoine Cully

2024/3/15

Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms

arXiv preprint arXiv:2403.03511

Marta Wolinska

Aron Walsh

Antoine Cully

2024/3/6

Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors

Shikha Surana

Bryan Lim

Antoine Cully

2023/5/29

Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains

Luca Grillotti

Manon Flageat

Bryan Lim

Antoine Cully

2023/7/15

Efficient exploration using model-based quality-diversity with gradients

Bryan Lim

Manon Flageat

Antoine Cully

2023/7/24

Accelerated Quality-Diversity through Massive Parallelism

Transactions on Machine Learning Research (TMLR)

Bryan Lim

Maxime Allard

Luca Grillotti

Antoine Cully

2022/2/2

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition

Shubham Jain

Ana-Maria Cretu

Antoine Cully

Yves-Alexandre de Montjoye

2023/5/26

Kheperax: a lightweight jax-based robot control environment for benchmarking quality-diversity algorithms

Luca Grillotti

Antoine Cully

2023/7/15

Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning

Bryan Lim

Manon Flageat

Antoine Cully

2023/7/15

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning

arXiv preprint arXiv:2401.08632

Maxence Faldor

Félix Chalumeau

Manon Flageat

Antoine Cully

2023/12/10

Uncertain quality-diversity: Evaluation methodology and new methods for quality-diversity in uncertain domains

IEEE Transactions on Evolutionary Computation

Manon Flageat

Antoine Cully

2023/5/8

Benchmark tasks for Quality-Diversity applied to Uncertain domains

Manon Flageat

Luca Grillotti

Antoine Cully

2023/7/15

Map-elites with descriptor-conditioned gradients and archive distillation into a single policy

Maxence Faldor

Félix Chalumeau

Manon Flageat

Antoine Cully

2023/7/15

Skill-Conditioned Policy Optimization with Successor Features Representations

Luca Grillotti

Maxence Faldor

Borja G León

Antoine Cully

2023/12/7

Empirical analysis of pga-map-elites for neuroevolution in uncertain domains

ACM Transactions on Evolutionary Learning

Manon Flageat

Felix Chalumeau

Antoine Cully

2023/3/29

Gradient-informed quality diversity for the illumination of discrete spaces

Raphaël Boige

Guillaume Richard

Jérémie Dona

Thomas Pierrot

Antoine Cully

2023/7/15

See List of Professors in Antoine Cully University(Imperial College London)

Co-Authors

H-index: 45
Yiannis Demiris

Yiannis Demiris

Imperial College London

H-index: 18
Konstantinos Chatzilygeroudis

Konstantinos Chatzilygeroudis

University of Patras

H-index: 15
Danesh Tarapore

Danesh Tarapore

University of Southampton

H-index: 8
Bryan Lim

Bryan Lim

Imperial College London

H-index: 7
Nemanja Rakićević

Nemanja Rakićević

Imperial College London

H-index: 6
Fan Zhang

Fan Zhang

Imperial College London

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