Behavioral repertoire learning in robotics. - Antoine Cully; Jean-Baptiste Mouret (GECCO, 2013)

High resilience in robotics with a multi-objective evolutionary algorithm. - Sylvain Koos; Antoine Cully; Jean-Baptiste Mouret (GECCO (Companion), 2013)

Learning to Walk in Every Direction. - Antoine Cully; Jean-Baptiste Mouret (CoRR, 2013)

Fast damage recovery in robotics with the T-resilience algorithm. - Sylvain Koos; Antoine Cully; Jean-Baptiste Mouret (Int. J. Robotics Res., 2013)

Learning to Walk in Every Direction with the TBR-Learning algorithm. - Antoine Cully; Jean-Baptiste Mouret (ALIFE, 2014)

Abstract of: "Fast Damage Recovery in Robotics with the T-Resilience Algorithm". - Sylvain Koos; Antoine Cully; Jean-Baptiste Mouret (ALIFE, 2014)

Robots that can adapt like natural animals. - Antoine Cully; Jeff Clune; Jean-Baptiste Mouret (CoRR, 2014)

Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach. - Carlos Maestre; Antoine Cully; Christophe Gonzales; Stéphane Doncieux (ICDL-EPIROB, 2015)

Robots that can adapt like animals. - Antoine Cully; Jeff Clune; Danesh Tarapore; Jean-Baptiste Mouret (Nat., 2015)

Creative Adaptation through Learning. (Adaptation Créative par Apprentissage). - Antoine Cully (2015)

How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? - Danesh Tarapore; Jeff Clune; Antoine Cully; Jean-Baptiste Mouret (GECCO, 2016)

Towards semi-episodic learning for robot damage recovery. - Konstantinos I. Chatzilygeroudis; Antoine Cully; Jean-Baptiste Mouret (CoRR, 2016)

Limbo: A Fast and Flexible Library for Bayesian Optimization. - Antoine Cully; Konstantinos I. Chatzilygeroudis; Federico Allocati; Jean-Baptiste Mouret (CoRR, 2016)

Evolving a Behavioral Repertoire for a Walking Robot. - Antoine Cully; Jean-Baptiste Mouret (Evol. Comput., 2016)

Personalized robot-assisted dressing using user modeling in latent spaces. - Fan Zhang 030; Antoine Cully; Yiannis Demiris (IROS, 2017)

MAGAN: Margin Adaptation for Generative Adversarial Networks. - Ruohan Wang; Antoine Cully; Hyung Jin Chang; Yiannis Demiris (CoRR, 2017)

Hierarchical behavioral repertoires with unsupervised descriptors. - Antoine Cully; Yiannis Demiris (GECCO, 2018)

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization. - Antoine Cully; Konstantinos I. Chatzilygeroudis; Federico Allocati; Jean-Baptiste Mouret (J. Open Source Softw., 2018)

Quality and Diversity Optimization: A Unifying Modular Framework. - Antoine Cully; Yiannis Demiris (IEEE Trans. Evol. Comput., 2018)

AlphaStar: an evolutionary computation perspective. - Kai Arulkumaran; Antoine Cully; Julian Togelius (GECCO (Companion), 2019)

Autonomous skill discovery with quality-diversity and unsupervised descriptors. - Antoine Cully (GECCO, 2019)

Probabilistic Real-Time User Posture Tracking for Personalized Robot-Assisted Dressing. - Fan Zhang 030; Antoine Cully; Yiannis Demiris (IEEE Trans. Robotics, 2019)

Fast and stable MAP-Elites in noisy domains using deep grids. - Manon Flageat; Antoine Cully (ALIFE, 2020)

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. - 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; et al. (Artif. Life, 2020)

Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters. - Antoine Cully (CoRR, 2020)

Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations. - Szymon Brych; Antoine Cully (CoRR, 2020)

Quality-Diversity Optimization: a novel branch of stochastic optimization. - Konstantinos I. Chatzilygeroudis; Antoine Cully; Vassilis Vassiliades; Jean-Baptiste Mouret (CoRR, 2020)

Policy Manifold Search for Improving Diversity-based Neuroevolution. - Nemanja Rakicevic; Antoine Cully; Petar Kormushev (CoRR, 2020)

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - 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; et al. (Frontiers Big Data, 2020)

Multimodal representation models for prediction and control from partial information. - Martina Zambelli; Antoine Cully; Yiannis Demiris (Robotics Auton. Syst., 2020)

Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering. - Antoine Cully; Yiannis Demiris (IEEE Trans. Knowl. Data Eng., 2020)

Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. - Antoine Cully (GECCO, 2021)

Quality-diversity optimisation. - Antoine Cully; Jean-Baptiste Mouret; Stéphane Doncieux (GECCO Companion, 2021)

Policy gradient assisted MAP-Elites. - Olle Nilsson; Antoine Cully (GECCO, 2021)

Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution. - Nemanja Rakicevic; Antoine Cully; Petar Kormushev (GECCO, 2021)

On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. - Liyi Zhou; Kaihua Qin; Antoine Cully; Benjamin Livshits; Arthur Gervais (SP, 2021)

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

QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. - Ana-Maria Cretu 002; Florimond Houssiau; Antoine Cully; Yves-Alexandre de Montjoye (CCS, 2022)

Hierarchical quality-diversity for online damage recovery. - Maxime Allard; Simón C. Smith; Konstantinos I. Chatzilygeroudis; Antoine Cully (GECCO, 2022)

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)

Learning to walk autonomously via reset-free quality-diversity. - Bryan Lim; Alexander Reichenbach; Antoine Cully (GECCO, 2022)

Diversity policy gradient for sample efficient quality-diversity optimization. - Thomas Pierrot; Valentin Macé; Félix Chalumeau; Arthur Flajolet; Geoffrey Cideron; Karim Beguir; Antoine Cully; Olivier Sigaud; Nicolas Perrin-Gilbert (GECCO, 2022)

Multi-objective quality diversity optimization. - Thomas Pierrot; Guillaume Richard; Karim Beguir; Antoine Cully (GECCO, 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)

Efficient Exploration using Model-Based Quality-Diversity with Gradients. - Bryan Lim; Manon Flageat; Antoine Cully (CoRR, 2022)

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. - Félix Chalumeau; Thomas Pierrot; Valentin Macé; Arthur Flajolet; Karim Beguir; Antoine Cully; Nicolas Perrin-Gilbert (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)

A Cloud-based Robot System for Long-term Interaction: Principles, Implementation, Lessons Learned. - 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 (ACM Trans. Hum. Robot Interact., 2022)

Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. - Raphaël Boige; Guillaume Richard; Jérémie Donà; Thomas Pierrot; Antoine Cully (GECCO, 2023)

Quality-Diversity Optimization. - Antoine Cully; Jean-Baptiste Mouret; Stéphane Doncieux (GECCO Companion, 2023)

MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. - Maxence Faldor; Félix Chalumeau; Manon Flageat; Antoine Cully (GECCO, 2023)

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)

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

Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. - Bryan Lim; Manon Flageat; 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)

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. - Félix Chalumeau; Raphaël Boige; Bryan Lim; Valentin Macé; Maxime Allard; Arthur Flajolet; Antoine Cully; Thomas Pierrot (ICLR, 2023)

Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. - Shikha Surana; Bryan Lim; Antoine Cully (ICRA, 2023)

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. - Shubham Jain; Ana-Maria Cretu 002; Antoine Cully; Yves-Alexandre de Montjoye (SP, 2023)

Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies. - Manon Flageat; Bryan Lim; Antoine Cully (CoRR, 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)

Mix-ME: Quality-Diversity for Multi-Agent Learning. - Garðar Ingvarsson; Mikayel Samvelyan; Bryan Lim; Manon Flageat; Antoine Cully; Tim Rocktäschel (CoRR, 2023)

Accelerated Quality-Diversity through Massive Parallelism. - Bryan Lim; Maxime Allard; Luca Grillotti; Antoine Cully (Trans. Mach. Learn. Res., 2023)

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. - Manon Flageat; Félix Chalumeau; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2023)

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. - Maxime Allard; Simón C. Smith; Konstantinos I. Chatzilygeroudis; Bryan Lim; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2023)

Editorial to the "Evolutionary Reinforcement Learning" Special Issue. - Adam Gaier; Giuseppe Paolo; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2023)

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. - Manon Flageat; Bryan Lim; Antoine Cully (AAAI, 2024)

Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. - Paul Templier; Emmanuel Rachelson; Antoine Cully; Dennis G. Wilson (CEC, 2024)

Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. - Manon Flageat; Bryan Lim; Antoine Cully (GECCO, 2024)

Evolutionary Reinforcement Learning. - Manon Flageat; Bryan Lim; Antoine Cully (GECCO Companion, 2024)

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

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)

Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms. - Marta Wolinska; Aron Walsh; Antoine Cully (CoRR, 2024)

Large Language Models as In-context AI Generators for Quality-Diversity. - Bryan Lim; Manon Flageat; Antoine Cully (CoRR, 2024)

Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity. - Maxence Faldor; Antoine Cully (CoRR, 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)

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)

Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains. - Manon Flageat; Antoine Cully (IEEE Trans. Evol. Comput., 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)

Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity. - Lisa Coiffard; Paul Templier; Antoine Cully (GECCO, 2025)

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. - Manon Flageat; Johann Huber; François Hélénon; Stéphane Doncieux; Antoine Cully (GECCO, 2025)

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

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations. - Konstantinos Mitsides; Maxence Faldor; Antoine Cully (GECCO, 2025)

CAX: Cellular Automata Accelerated in JAX. - Maxence Faldor; Antoine Cully (ICLR, 2025)

OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. - Maxence Faldor; Jenny Zhang; Antoine Cully; Jeff Clune (ICLR, 2025)

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. - Maxence Faldor; Félix Chalumeau; Manon Flageat; Antoine Cully (ACM Trans. Evol. Learn. Optim., 2025)

Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization. - Maxence Faldor; Robert Tjarko Lange; Antoine Cully (CoRR, 2025)

A Path to Universal Neural Cellular Automata. - Gabriel Béna; Maxence Faldor; Dan F. M. Goodman; Antoine Cully (CoRR, 2025)