Cully, Antoine

18 publications

ICLR 2025 CAX: Cellular Automata Accelerated in JAX Maxence Faldor, Antoine Cully

CoRL 2025 From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Real-World Unsupervised Quality-Diversity Luca Grillotti, Lisa Coiffard, Oscar Pang, Maxence Faldor, Antoine Cully

ICLRW 2025 From Tabula Rasa to Emergent Abilities: Discovering Robot Skills via Reset-Free Unsupervised Quality-Diversity Luca Grillotti, 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

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

NeurIPSW 2024 OMNI-EPIC: Open-Endedness via Models of Human Notions of Interestingness with Environments Programmed in Code Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune

MLOSS 2024 QDax: A Library for Quality-Diversity and Population-Based Algorithms with Hardware Acceleration Felix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully

ICML 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

ICMLW 2024 Quality-Diversity for One-Shot Biological Sequence Design Jérémie Dona, Arthur Flajolet, Andrei Marginean, Antoine Cully, Thomas Pierrot

TMLR 2023 Accelerated Quality-Diversity Through Massive Parallelism Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

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

ICLR 2023 Neuroevolution Is a Competitive Alternative to Reinforcement Learning for Skill Discovery Felix Chalumeau, Raphael Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot

NeurIPSW 2023 Skill-Conditioned Policy Optimization with Successor Features Representations Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully

ICLRW 2022 Accelerated Quality-Diversity for Robotics Through Massive Parallelism Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

ICLRW 2022 Discovering Unsupervised Behaviours from Full State Trajectories Luca Grillotti, Antoine Cully

ICLRW 2022 Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

NeurIPSW 2022 Efficient Exploration Using Model-Based Quality-Diversity with Gradients Bryan Lim, Manon Flageat, Antoine Cully

ICLRW 2022 Learning to Walk Autonomously via Reset-Free Quality-Diversity Bryan Lim, Alexander Reichenbach, Antoine Cully