Maxime Allard

13 papers A* 1A 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Helix-mRNA: A Hybrid Foundation Model For Full Sequence mRNA Therapeutics.
CoRR
Matthew Wood, Mathieu Klop, Maxime Allard
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
2023 J jnl
Accelerated Quality-Diversity through Massive Parallelism.
Trans. Mach. Learn. Res.
Bryan Lim, Maxime Allard, Luca Grillotti, 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
2022 J jnl
Accelerated Quality-Diversity for Robotics through Massive Parallelism.
CoRR
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
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
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
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