Félix Chalumeau

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

Antoine Cully, Bryan Lim, Maxime Allard, 2022, ArXiv.

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

Antoine Cully, Manon Flageat, Félix Chalumeau, 2022, ACM Trans. Evol. Learn. Optim..

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems

Antoine Cully, Karim Beguir, Thomas Pierrot, 2022, ArXiv.

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

Antoine Cully, Bryan Lim, Maxime Allard, 2023, ArXiv.

The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers

Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert, 2023, GECCO.

MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy

Antoine Cully, Manon Flageat, Félix Chalumeau, 2023, GECCO.

The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers

Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert, 2023, Annual Conference on Genetic and Evolutionary Computation.

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

Antoine Cully, Bryan Lim, Maxime Allard, 2022, ICLR.

Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization

Arnu Pretorius, Nathan Grinsztajn, Félix Chalumeau, 2024, 2406.16424.