Félix Chalumeau

According to our database, Félix Chalumeau authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization.

Félix Chalumeau, Refiloe Shabe, Noah de Nicola, Arnu Pretorius, Thomas D. Barrett, Nathan Grinsztajn

CoRR, 2024

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning.

Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully

CoRR, 2024

2023

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

Manon Flageat, Félix Chalumeau, Antoine Cully

ACM Trans. Evol. Learn. Optim., March, 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

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

Combinatorial Optimization with Policy Adaptation using Latent Space Search.

Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

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

Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert

CoRR, 2022

Diversity policy gradient for sample efficient quality-diversity optimization.

Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning.

Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021