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ORCIDFélix Chalumeau
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2020 – today
- 2024
[j2]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024)- [i10]Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully:
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. CoRR abs/2401.08632 (2024) - [i9]Félix Chalumeau, Refiloe Shabe, Noah de Nicola, Arnu Pretorius, Thomas D. Barrett, Nathan Grinsztajn:
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization. CoRR abs/2406.16424 (2024) - 2023
- [j1]Manon Flageat
, Félix Chalumeau, Antoine Cully:
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Trans. Evol. Learn. Optim. 3(1): 1:1-1:32 (2023) - [c6]Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully:
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. GECCO 2023: 138-146 - [c5]Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert:
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO 2023: 1221-1229 - [c4]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR 2023 - [c3]Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett:
Combinatorial Optimization with Policy Adaptation using Latent Space Search. NeurIPS 2023 - [i8]Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully:
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. CoRR abs/2303.03832 (2023) - [i7]Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert:
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR abs/2303.16207 (2023) - [i6]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR abs/2308.03665 (2023) - [i5]Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett:
Combinatorial Optimization with Policy Adaptation using Latent Space Search. CoRR abs/2311.13569 (2023) - 2022
- [c2]Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert:
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO 2022: 1075-1083 - [i4]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR abs/2210.03516 (2022) - [i3]Manon Flageat, Félix Chalumeau, Antoine Cully:
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. CoRR abs/2210.13156 (2022) - [i2]Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert:
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR abs/2211.13742 (2022) - 2021
- [c1]Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau:
SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning. CPAIOR 2021: 392-409 - [i1]Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau:
SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning. CoRR abs/2102.09193 (2021)
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