Antoine Cully

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 108

Top Venues

CoRR

GECCO

GECCO Companion

ACM Trans. Evol. Learn. Optim.

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Manon Flageat, Bryan Lim, Antoine Cully
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. AAAI (2024)
Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. CoRR (2024)
Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson
Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. CEC (2024)
Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO (2024)
Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. CoRR (2024)
Marta Wolinska, Aron Walsh, Antoine Cully
Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms. CoRR (2024)
Maxence Faldor, Antoine Cully
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity. CoRR (2024)
Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully
Quality with Just Enough Diversity in Evolutionary Policy Search. GECCO (2024)
Bryan Lim, Manon Flageat, Antoine Cully
Large Language Models as In-context AI Generators for Quality-Diversity. CoRR (2024)
Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis G. Wilson, Antoine Cully
Quality with Just Enough Diversity in Evolutionary Policy Search. CoRR (2024)
Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies. CoRR (2024)
Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics. CoRR (2024)
Manon Flageat, Bryan Lim, Antoine Cully
Evolutionary Reinforcement Learning. GECCO Companion (2024)
Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR (2024)
Manon Flageat, Bryan Lim, Antoine Cully
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. GECCO (2024)
Manon Flageat, Antoine Cully
Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains. IEEE Trans. Evol. Comput. 28 (4) (2024)
Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO (2023)
Manon Flageat, Félix Chalumeau, Antoine Cully
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Trans. Evol. Learn. Optim. 3 (1) (2023)
Manon Flageat, Luca Grillotti, Antoine Cully
Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. GECCO Companion (2023)
Manon Flageat, Bryan Lim, Antoine Cully
Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies. CoRR (2023)
Manon Flageat, Luca Grillotti, Antoine Cully
Benchmark tasks for Quality-Diversity applied to Uncertain domains. CoRR (2023)
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. CoRR (2023)
Bryan Lim, Manon Flageat, Antoine Cully
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. GECCO (2023)
Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. GECCO Companion (2023)
Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. CoRR (2023)
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
Accelerated Quality-Diversity through Massive Parallelism. Trans. Mach. Learn. Res. 2023 (2023)
Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. GECCO (2023)
Luca Grillotti, Antoine Cully
Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms. GECCO Companion (2023)
Manon Flageat, Antoine Cully
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. CoRR (2023)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. ACM Trans. Evol. Learn. Optim. 3 (2) (2023)
Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. GECCO (2023)
Hannah Janmohamed, Thomas Pierrot, Antoine Cully
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR (2023)
Hannah Janmohamed, Thomas Pierrot, Antoine Cully
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO (2023)
Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. CoRR (2023)
Manon Flageat, Bryan Lim, Antoine Cully
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms. CoRR (2023)
Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. CoRR (2023)
Shikha Surana, Bryan Lim, Antoine Cully
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. ICRA (2023)
Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel
Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR (2023)
Adam Gaier, Giuseppe Paolo, Antoine Cully
Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. 3 (3) (2023)
Bryan Lim, Manon Flageat, Antoine Cully
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. CoRR (2023)
Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR (2023)
Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
Quality-Diversity Optimization. GECCO Companion (2023)
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. SP (2023)
Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR (2023)
Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR (2023)
Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR (2022)
Shikha Surana, Bryan Lim, Antoine Cully
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. CoRR (2022)
Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR (2022)
Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. ICRA (2022)
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CoRR (2022)
Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO (2022)
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
QDax: on the benefits of massive parallelization for quality-diversity. GECCO Companion (2022)
Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
Quality-diversity optimisation. GECCO Companion (2022)
Luca Grillotti, Antoine Cully
Discovering Unsupervised Behaviours from Full-State Trajectories. CoRR (2022)
Bryan Lim, Alexander Reichenbach, Antoine Cully
Learning to walk autonomously via reset-free quality-diversity. GECCO (2022)
Luca Grillotti, Antoine Cully
Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms. GECCO (2022)
Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CCS (2022)
Bryan Lim, Manon Flageat, Antoine Cully
Efficient Exploration using Model-Based Quality-Diversity with Gradients. CoRR (2022)
Luca Grillotti, Antoine Cully
Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms. CoRR (2022)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. CoRR (2022)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully
Hierarchical Quality-Diversity for Online Damage Recovery. CoRR (2022)
Bryan Lim, Alexander Reichenbach, Antoine Cully
Learning to Walk Autonomously via Reset-Free Quality-Diversity. CoRR (2022)
Luca Grillotti, Antoine Cully
Unsupervised Behavior Discovery With Quality-Diversity Optimization. IEEE Trans. Evol. Comput. 26 (6) (2022)
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
Accelerated Quality-Diversity for Robotics through Massive Parallelism. CoRR (2022)
Frank Kaptein, Bernd Kiefer, Antoine Cully, Oya Çeliktutan, Bert P. B. Bierman, Rifca Rijgersberg-Peters, Joost Broekens, Willeke van Vught, Michael van Bekkum, Yiannis Demiris, Mark A. Neerincx
A Cloud-based Robot System for Long-term Interaction: Principles, Implementation, Lessons Learned. ACM Trans. Hum. Robot Interact. 11 (1) (2022)
Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
Multi-objective quality diversity optimization. GECCO (2022)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully
Hierarchical quality-diversity for online damage recovery. GECCO (2022)
Félix Chalumeau, Raphael Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR (2022)
Manon Flageat, Félix Chalumeau, Antoine Cully
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. CoRR (2022)
Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
Multi-Objective Quality Diversity Optimization. CoRR (2022)
Liyi Zhou, Kaihua Qin, Antoine Cully, Benjamin Livshits, Arthur Gervais
On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. CoRR (2021)
Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. CoRR (2021)
Antoine Cully
Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. GECCO (2021)
Olle Nilsson, Antoine Cully
Policy gradient assisted MAP-Elites. GECCO (2021)
Nemanja Rakicevic, Antoine Cully, Petar Kormushev
Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution. GECCO (2021)
Luca Grillotti, Antoine Cully
Unsupervised Behaviour Discovery with Quality-Diversity Optimisation. CoRR (2021)
Liyi Zhou, Kaihua Qin, Antoine Cully, Benjamin Livshits, Arthur Gervais
On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. IEEE Symposium on Security and Privacy (2021)
Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
Quality-diversity optimisation. GECCO Companion (2021)
Nemanja Rakicevic, Antoine Cully, Petar Kormushev
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution. CoRR (2021)
Szymon Brych, Antoine Cully
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations. CoRR (2020)
Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3 (2020)
Martina Zambelli, Antoine Cully, Yiannis Demiris
Multimodal representation models for prediction and control from partial information. Robotics Auton. Syst. 123 (2020)
Manon Flageat, Antoine Cully
Fast and stable MAP-Elites in noisy domains using deep grids. ALIFE (2020)
Manon Flageat, Antoine Cully
Fast and stable MAP-Elites in noisy domains using deep grids. CoRR (2020)
Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
Quality-diversity optimisation. GECCO Companion (2020)
Antoine Cully
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters. CoRR (2020)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26 (2) (2020)
Antoine Cully, Yiannis Demiris
Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 32 (10) (2020)
Nemanja Rakicevic, Antoine Cully, Petar Kormushev
Policy Manifold Search for Improving Diversity-based Neuroevolution. CoRR (2020)
Konstantinos I. Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret
Quality-Diversity Optimization: a novel branch of stochastic optimization. CoRR (2020)
Antoine Cully
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors. CoRR (2019)
Fan Zhang, Antoine Cully, Yiannis Demiris
Probabilistic Real-Time User Posture Tracking for Personalized Robot-Assisted Dressing. IEEE Trans. Robotics 35 (4) (2019)
Kai Arulkumaran, Antoine Cully, Julian Togelius
AlphaStar: An Evolutionary Computation Perspective. CoRR (2019)
Martina Zambelli, Antoine Cully, Yiannis Demiris
Multimodal representation models for prediction and control from partial information. CoRR (2019)
Kai Arulkumaran, Antoine Cully, Julian Togelius
AlphaStar: an evolutionary computation perspective. GECCO (Companion) (2019)
Antoine Cully
Autonomous skill discovery with quality-diversity and unsupervised descriptors. GECCO (2019)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR (2018)
Antoine Cully, Yiannis Demiris
Hierarchical behavioral repertoires with unsupervised descriptors. GECCO (2018)
Antoine Cully, Konstantinos I. Chatzilygeroudis, Federico Allocati, Jean-Baptiste Mouret
Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization. J. Open Source Softw. 3 (26) (2018)
Antoine Cully, Yiannis Demiris
Quality and Diversity Optimization: A Unifying Modular Framework. IEEE Trans. Evol. Comput. 22 (2) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Antoine Cully