Maxime Allard

According to our database, Maxime Allard authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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., June, 2023

Accelerated Quality-Diversity through Massive Parallelism.

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

Trans. Mach. Learn. Res., 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

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Accelerated Quality-Diversity for Robotics through Massive Parallelism.

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

CoRR, 2022

QDax: on the benefits of massive parallelization for quality-diversity.

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Hierarchical quality-diversity for online damage recovery.

Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022