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2020 – today
- 2024
[j3]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024)- 2023
- [j2]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): 6:1-6:23 (2023) - [j1]Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
Accelerated Quality-Diversity through Massive Parallelism. Trans. Mach. Learn. Res. 2023 (2023) - [c3]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 - [i6]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 abs/2308.03665 (2023) - 2022
- [c2]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully:
Hierarchical quality-diversity for online damage recovery. GECCO 2022: 58-67 - [c1]Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
QDax: on the benefits of massive parallelization for quality-diversity. GECCO Companion 2022: 128-131 - [i5]Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
Accelerated Quality-Diversity for Robotics through Massive Parallelism. CoRR abs/2202.01258 (2022) - [i4]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully:
Hierarchical Quality-Diversity for Online Damage Recovery. CoRR abs/2204.05726 (2022) - [i3]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. CoRR abs/2210.03516 (2022) - [i2]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully:
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. CoRR abs/2210.09918 (2022) - [i1]Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully:
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR abs/2211.02193 (2022)
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