Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. - Raphaël Boige; Guillaume Richard; Jérémie Donà; Thomas Pierrot; Antoine Cully (GECCO, 2023)

The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. - Valentin Macé; Raphaël Boige; Félix Chalumeau; Thomas Pierrot; Guillaume Richard; Nicolas Perrin-Gilbert (GECCO, 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 (ICLR, 2023)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Vincent Coyette; Paul Duckworth; Laurence I. Midgley; Tristan Kalloniatis; Sasha Abramowitz; Cemlyn N. Waters; Andries P. Smit; Nathan Grinsztajn; et al. (CoRR, 2023)

PASTA: Pretrained Action-State Transformer Agents. - Raphaël Boige; Yannis Flet-Berliac; Arthur Flajolet; Guillaume Richard; Thomas Pierrot (CoRR, 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)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Sasha Abramowitz; Paul Duckworth; Vincent Coyette; Laurence Illing Midgley; Elshadai Tegegn; Tristan Kalloniatis; Omayma Mahjoub; Matthew Macfarlane; et al. (ICLR, 2024)

PASTA: Pretrained Action-State Transformer Agents. - Raphaël Boige; Yannis Flet-Berliac; Lars C. P. M. Quaedvlieg; Arthur Flajolet; Guillaume Richard; Thomas Pierrot (RLJ, 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)

AlphaBeta is not as good as you think: a new probabilistic model to better analyze deterministic game-solving algorithms. - Raphaël Boige; Amine M. Boumaza; Bruno Scherrer (CoRR, 2025)