Antoine Cully - RankMe

147 papers A* 10A 26B 1C 3Journal 92Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CODE-SHARP: Continuous Open-ended Discovery and Evolution of Skills as Hierarchical Reward Programs. CoRR Richard Bornemann, Pierluigi Vito Amadori, Antoine Cully
2026	J	`jnl`	Dreaming in Code for Curriculum Learning in Open-Ended Worlds. CoRR Konstantinos Mitsides, Maxence Faldor, Antoine Cully
2026	J	`jnl`	Exploring the Performance-Reproducibility Trade-Off in Quality-Diversity. IEEE Trans. Evol. Comput. Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully
2026	J	`jnl`	Onboard MuJoCo-based Model Predictive Control for Shipboard Crane with Double-Pendulum Sway Suppression. CoRR Oscar Pang, Lisa Coiffard, Paul Templier, Luke Beddow, Kamil Dreczkowski, Antoine Cully
2025	—	`conf`	A Path to Universal Neural Cellular Automata. GECCO Companion Gabriel Béna, Maxence Faldor, Dan F. M. Goodman, Antoine Cully
2025	J	`jnl`	A Path to Universal Neural Cellular Automata. CoRR Gabriel Béna, Maxence Faldor, Dan F. M. Goodman, Antoine Cully
2025	A*	`conf`	CAX: Cellular Automata Accelerated in JAX. ICLR Maxence Faldor, Antoine Cully
2025	J	`jnl`	Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization. CoRR Maxence Faldor, Robert Tjarko Lange, Antoine Cully
2025	A	`conf`	Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity. GECCO Ryan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully
2025	J	`jnl`	Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity. CoRR Ryan Bahlous-Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee Spector, Antoine Cully
2025	—	`conf`	Evolutionary Reinforcement Learning. GECCO Companion Antoine Cully, Bryan Lim, Paul Templier, Manon Flageat
2025	A	`conf`	Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. GECCO Manon Flageat, Johann Huber, François Hélénon, Stéphane Doncieux, Antoine Cully
2025	J	`jnl`	Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. CoRR Manon Flageat, Johann Huber, François Hélénon, Stéphane Doncieux, Antoine Cully
2025	J	`jnl`	From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity. CoRR Luca Grillotti, Lisa Coiffard, Oscar Pang, Maxence Faldor, Antoine Cully
2025	A	`conf`	Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces. GECCO Hannah Janmohamed, Antoine Cully
2025	J	`jnl`	Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces. CoRR Hannah Janmohamed, Antoine Cully
2025	A*	`conf`	OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. ICLR Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune
2025	A	`conf`	Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity. GECCO Lisa Coiffard, Paul Templier, Antoine Cully
2025	J	`jnl`	Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity. CoRR Lisa Coiffard, Paul Templier, Antoine Cully
2025	A	`conf`	Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations. GECCO Konstantinos Mitsides, Maxence Faldor, Antoine Cully
2025	J	`jnl`	Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations. CoRR Konstantinos Mitsides, Maxence Faldor, Antoine Cully
2025	J	`jnl`	Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. ACM Trans. Evol. Learn. Optim. Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2025	J	`jnl`	Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery. CoRR Paul Templier, Hannah Janmohamed, David Labonte, Antoine Cully
2024	A*	`conf`	Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. AAAI Manon Flageat, Bryan Lim, Antoine Cully
2024	J	`jnl`	CAX: Cellular Automata Accelerated in JAX. CoRR Maxence Faldor, Antoine Cully
2024	A	`conf`	Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. GECCO Manon Flageat, Bryan Lim, Antoine Cully
2024	—	`conf`	Evolutionary Reinforcement Learning. GECCO Companion Manon Flageat, Bryan Lim, Antoine Cully
2024	J	`jnl`	Exploring the Performance-Reproducibility Trade-off in Quality-Diversity. CoRR Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully
2024	B	`conf`	Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. CEC Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson
2024	J	`jnl`	Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies. CoRR Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson
2024	J	`jnl`	Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms. CoRR Marta Wolinska, Aron Walsh, Antoine Cully
2024	J	`jnl`	Large Language Models as In-context AI Generators for Quality-Diversity. CoRR Bryan Lim, Manon Flageat, Antoine Cully
2024	A	`conf`	Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
2024	J	`jnl`	Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully
2024	J	`jnl`	OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. CoRR Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune
2024	J	`jnl`	Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity. CoRR Hannah Janmohamed, Maxence Faldor, Thomas Pierrot, Antoine Cully
2024	J	`jnl`	QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2024	A	`conf`	Quality with Just Enough Diversity in Evolutionary Policy Search. GECCO Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully
2024	J	`jnl`	Quality with Just Enough Diversity in Evolutionary Policy Search. CoRR Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis G. Wilson, Antoine Cully
2024	A*	`conf`	Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics. ICML Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully
2024	J	`jnl`	Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics. CoRR Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully
2024	J	`jnl`	Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. CoRR Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2024	J	`jnl`	Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity. CoRR Maxence Faldor, Antoine Cully
2024	J	`jnl`	Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains. IEEE Trans. Evol. Comput. Manon Flageat, Antoine Cully
2023	J	`jnl`	Accelerated Quality-Diversity through Massive Parallelism. Trans. Mach. Learn. Res. Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
2023	—	`conf`	Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. GECCO Companion Manon Flageat, Luca Grillotti, Antoine Cully
2023	J	`jnl`	Benchmark tasks for Quality-Diversity applied to Uncertain domains. CoRR Manon Flageat, Luca Grillotti, Antoine Cully
2023	J	`jnl`	Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms. CoRR Manon Flageat, Bryan Lim, Antoine Cully
2023	A*	`conf`	Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. SP Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
2023	J	`jnl`	Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. CoRR Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
2023	A	`conf`	Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. GECCO Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully
2023	J	`jnl`	Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. CoRR Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully
2023	J	`jnl`	Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. Adam Gaier, Giuseppe Paolo, Antoine Cully
2023	A*	`conf`	Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. ICRA Shikha Surana, Bryan Lim, Antoine Cully
2023	J	`jnl`	Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Trans. Evol. Learn. Optim. Manon Flageat, Félix Chalumeau, Antoine Cully
2023	A	`conf`	Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
2023	J	`jnl`	Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully
2023	A	`conf`	Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO Hannah Janmohamed, Thomas Pierrot, Antoine Cully
2023	J	`jnl`	Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR Hannah Janmohamed, Thomas Pierrot, Antoine Cully
2023	—	`conf`	Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms. GECCO Companion Luca Grillotti, Antoine Cully
2023	A	`conf`	MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. GECCO Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2023	J	`jnl`	MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. CoRR Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2023	J	`jnl`	Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel
2023	J	`jnl`	Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies. CoRR Manon Flageat, Bryan Lim, Antoine Cully
2023	A*	`conf`	Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
2023	J	`jnl`	Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. ACM Trans. Evol. Learn. Optim. Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully
2023	J	`jnl`	QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2023	—	`conf`	Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. GECCO Companion Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully
2023	J	`jnl`	Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. CoRR Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully
2023	—	`conf`	Quality-Diversity Optimization. GECCO Companion Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
2023	J	`jnl`	Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. CoRR Manon Flageat, Antoine Cully
2023	A	`conf`	Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. GECCO Bryan Lim, Manon Flageat, Antoine Cully
2023	J	`jnl`	Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. CoRR Bryan Lim, Manon Flageat, Antoine Cully
2022	J	`jnl`	A Cloud-based Robot System for Long-term Interaction: Principles, Implementation, Lessons Learned. ACM Trans. Hum. Robot Interact. 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
2022	J	`jnl`	Accelerated Quality-Diversity for Robotics through Massive Parallelism. CoRR Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
2022	J	`jnl`	Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
2022	J	`jnl`	Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully
2022	J	`jnl`	Discovering Unsupervised Behaviours from Full-State Trajectories. CoRR Luca Grillotti, Antoine Cully
2022	A	`conf`	Diversity policy gradient for sample efficient quality-diversity optimization. GECCO Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
2022	A*	`conf`	Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. ICRA Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully
2022	J	`jnl`	Efficient Exploration using Model-Based Quality-Diversity with Gradients. CoRR Bryan Lim, Manon Flageat, Antoine Cully
2022	J	`jnl`	Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. CoRR Shikha Surana, Bryan Lim, Antoine Cully
2022	J	`jnl`	Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. CoRR Manon Flageat, Félix Chalumeau, Antoine Cully
2022	J	`jnl`	Hierarchical Quality-Diversity for Online Damage Recovery. CoRR Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully
2022	A	`conf`	Hierarchical quality-diversity for online damage recovery. GECCO Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully
2022	J	`jnl`	Learning to Walk Autonomously via Reset-Free Quality-Diversity. CoRR Bryan Lim, Alexander Reichenbach, Antoine Cully
2022	A	`conf`	Learning to walk autonomously via reset-free quality-diversity. GECCO Bryan Lim, Alexander Reichenbach, Antoine Cully
2022	J	`jnl`	Multi-Objective Quality Diversity Optimization. CoRR Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
2022	A	`conf`	Multi-objective quality diversity optimization. GECCO Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully
2022	J	`jnl`	Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
2022	J	`jnl`	Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. CoRR Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully
2022	—	`conf`	QDax: on the benefits of massive parallelization for quality-diversity. GECCO Companion Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
2022	—	`conf`	Quality-diversity optimisation. GECCO Companion Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
2022	A*	`conf`	QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CCS Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
2022	J	`jnl`	QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CoRR Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye
2022	J	`jnl`	Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms. CoRR Luca Grillotti, Antoine Cully
2022	A	`conf`	Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms. GECCO Luca Grillotti, Antoine Cully
2022	J	`jnl`	Unsupervised Behavior Discovery With Quality-Diversity Optimization. IEEE Trans. Evol. Comput. Luca Grillotti, Antoine Cully
2021	J	`jnl`	Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. CoRR Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully
2021	A	`conf`	Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. GECCO Antoine Cully
2021	A*	`conf`	On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. SP Liyi Zhou, Kaihua Qin, Antoine Cully, Benjamin Livshits, Arthur Gervais
2021	J	`jnl`	On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. CoRR Liyi Zhou, Kaihua Qin, Antoine Cully, Benjamin Livshits, Arthur Gervais
2021	J	`jnl`	Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution. CoRR Nemanja Rakicevic, Antoine Cully, Petar Kormushev
2021	A	`conf`	Policy gradient assisted MAP-Elites. GECCO Olle Nilsson, Antoine Cully
2021	A	`conf`	Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution. GECCO Nemanja Rakicevic, Antoine Cully, Petar Kormushev
2021	—	`conf`	Quality-diversity optimisation. GECCO Companion Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
2021	J	`jnl`	Unsupervised Behaviour Discovery with Quality-Diversity Optimisation. CoRR Luca Grillotti, Antoine Cully
2020	J	`jnl`	Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations. CoRR Szymon Brych, Antoine Cully
2020	C	`conf`	Fast and stable MAP-Elites in noisy domains using deep grids. ALIFE Manon Flageat, Antoine Cully
2020	J	`jnl`	Fast and stable MAP-Elites in noisy domains using deep grids. CoRR Manon Flageat, Antoine Cully
2020	J	`jnl`	Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 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
2020	J	`jnl`	Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters. CoRR Antoine Cully
2020	J	`jnl`	Multimodal representation models for prediction and control from partial information. Robotics Auton. Syst. Martina Zambelli, Antoine Cully, Yiannis Demiris
2020	J	`jnl`	Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Antoine Cully, Yiannis Demiris
2020	J	`jnl`	Policy Manifold Search for Improving Diversity-based Neuroevolution. CoRR Nemanja Rakicevic, Antoine Cully, Petar Kormushev
2020	J	`jnl`	Quality-Diversity Optimization: a novel branch of stochastic optimization. CoRR Konstantinos I. Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret
2020	—	`conf`	Quality-diversity optimisation. GECCO Companion Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
2020	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 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
2019	J	`jnl`	AlphaStar: An Evolutionary Computation Perspective. CoRR Kai Arulkumaran, Antoine Cully, Julian Togelius
2019	—	`conf`	AlphaStar: an evolutionary computation perspective. GECCO (Companion) Kai Arulkumaran, Antoine Cully, Julian Togelius
2019	J	`jnl`	Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors. CoRR Antoine Cully
2019	A	`conf`	Autonomous skill discovery with quality-diversity and unsupervised descriptors. GECCO Antoine Cully
2019	J	`jnl`	Multimodal representation models for prediction and control from partial information. CoRR Martina Zambelli, Antoine Cully, Yiannis Demiris
2019	J	`jnl`	Probabilistic Real-Time User Posture Tracking for Personalized Robot-Assisted Dressing. IEEE Trans. Robotics Fan Zhang, Antoine Cully, Yiannis Demiris
2018	J	`jnl`	Hierarchical Behavioral Repertoires with Unsupervised Descriptors. CoRR Antoine Cully, Yiannis Demiris
2018	A	`conf`	Hierarchical behavioral repertoires with unsupervised descriptors. GECCO Antoine Cully, Yiannis Demiris
2018	J	`jnl`	Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization. J. Open Source Softw. Antoine Cully, Konstantinos I. Chatzilygeroudis, Federico Allocati, Jean-Baptiste Mouret
2018	J	`jnl`	Quality and Diversity Optimization: A Unifying Modular Framework. IEEE Trans. Evol. Comput. Antoine Cully, Yiannis Demiris
2018	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR 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
2017	J	`jnl`	MAGAN: Margin Adaptation for Generative Adversarial Networks. CoRR Ruohan Wang, Antoine Cully, Hyung Jin Chang, Yiannis Demiris
2017	A	`conf`	Personalized robot-assisted dressing using user modeling in latent spaces. IROS Fan Zhang, Antoine Cully, Yiannis Demiris
2017	J	`jnl`	Quality and Diversity Optimization: A Unifying Modular Framework. CoRR Antoine Cully, Yiannis Demiris
2016	J	`jnl`	Evolving a Behavioral Repertoire for a Walking Robot. Evol. Comput. Antoine Cully, Jean-Baptiste Mouret
2016	A	`conf`	How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? GECCO Danesh Tarapore, Jeff Clune, Antoine Cully, Jean-Baptiste Mouret
2016	J	`jnl`	Limbo: A Fast and Flexible Library for Bayesian Optimization. CoRR Antoine Cully, Konstantinos I. Chatzilygeroudis, Federico Allocati, Jean-Baptiste Mouret
2016	J	`jnl`	Towards semi-episodic learning for robot damage recovery. CoRR Konstantinos I. Chatzilygeroudis, Antoine Cully, Jean-Baptiste Mouret
2015	—	`conf`	Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach. ICDL-EPIROB Carlos Maestre, Antoine Cully, Christophe Gonzales, Stéphane Doncieux
2015	—	`—`	Creative Adaptation through Learning. (Adaptation Créative par Apprentissage). Antoine Cully
2015	J	`jnl`	Robots that can adapt like animals. Nat. Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret
2014	C	`conf`	Abstract of: "Fast Damage Recovery in Robotics with the T-Resilience Algorithm". ALIFE Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret
2014	C	`conf`	Learning to Walk in Every Direction with the TBR-Learning algorithm. ALIFE Antoine Cully, Jean-Baptiste Mouret
2014	J	`jnl`	Robots that can adapt like natural animals. CoRR Antoine Cully, Jeff Clune, Jean-Baptiste Mouret
2013	A	`conf`	Behavioral repertoire learning in robotics. GECCO Antoine Cully, Jean-Baptiste Mouret
2013	J	`jnl`	Fast Damage Recovery in Robotics with the T-Resilience Algorithm CoRR Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret
2013	J	`jnl`	Fast damage recovery in robotics with the T-resilience algorithm. Int. J. Robotics Res. Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret
2013	—	`conf`	High resilience in robotics with a multi-objective evolutionary algorithm. GECCO (Companion) Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret
2013	J	`jnl`	Learning to Walk in Every Direction. CoRR Antoine Cully, Jean-Baptiste Mouret