Valentin Mac'e

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

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

Diversity policy gradient for sample efficient quality-diversity optimization

Antoine Cully, Olivier Sigaud, Geoffrey Cideron, 2020, GECCO.

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.

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.

Diversity policy gradient for sample efficient quality-diversity optimization

Antoine Cully, Olivier Sigaud, Geoffrey Cideron, 2020, GECCO.

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

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