Maxime Allard

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 11

Top Topics

Reinforcement Learning

Function Approximators

Top Venues

ACM Trans. Evol. Learn. Optim.

GECCO Companion

Publications

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
Accelerated Quality-Diversity through Massive Parallelism. Trans. Mach. Learn. Res. 2023 (2023)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. ACM Trans. Evol. Learn. Optim. 3 (2) (2023)
Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR (2023)
Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR (2023)
Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR (2022)
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
QDax: on the benefits of massive parallelization for quality-diversity. GECCO Companion (2022)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. CoRR (2022)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully
Hierarchical Quality-Diversity for Online Damage Recovery. CoRR (2022)
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
Accelerated Quality-Diversity for Robotics through Massive Parallelism. CoRR (2022)
Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully
Hierarchical quality-diversity for online damage recovery. GECCO (2022)
Félix Chalumeau, Raphael Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR (2022)