One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning. - Clément Bonnet; Paul Caron; Thomas D. Barrett; Ian Davies; Alexandre Laterre (CoRR, 2021)

Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function. - Clément Bonnet; Laurence I. Midgley; Alexandre Laterre (CoRR, 2022)

Combinatorial Optimization with Policy Adaptation using Latent Space Search. - Félix Chalumeau; Shikha Surana; Clément Bonnet; Nathan Grinsztajn; Arnu Pretorius; Alexandre Laterre; Tom Barrett (NeurIPS, 2023)

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization. - Nathan Grinsztajn; Daniel Furelos-Blanco; Shikha Surana; Clément Bonnet; Tom Barrett (NeurIPS, 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)

Combinatorial Optimization with Policy Adaptation using Latent Space Search. - Félix Chalumeau; Shikha Surana; Clément Bonnet; Nathan Grinsztajn; Arnu Pretorius; Alexandre Laterre; Thomas D. Barrett (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)

Searching Latent Program Spaces. - Clément Bonnet; Matthew V. Macfarlane (CoRR, 2024)

From Text to Pose to Image: Improving Diffusion Model Control and Quality. - Clément Bonnet; Ariel N. Lee; Franck Wertel; Antoine Tamano; Tanguy Cizain; Pablo Ducru (CoRR, 2024)