Félix Chalumeau

21 papers A* 2A 3B 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Breaking the Performance Ceiling in Complex Reinforcement Learning requires Inference Strategies. CoRR Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan de Kock, Claude Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon du Toit, Louay Ben Nessir, Refiloe Shabe, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Arnu Pretorius
2025	J	`jnl`	Oryx: a Performant and Scalable Algorithm for Many-Agent Coordination in Offline MARL. CoRR Claude Formanek, Omayma Mahjoub, Louay Ben Nessir, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Arnu Pretorius
2025	J	`jnl`	Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. ACM Trans. Evol. Learn. Optim. Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2024	J	`jnl`	Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization. CoRR Félix Chalumeau, Refiloe Shabe, Noah de Nicola, Arnu Pretorius, Thomas D. Barrett, Nathan Grinsztajn
2024	J	`jnl`	QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2024	J	`jnl`	Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. CoRR Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2023	A*	`conf`	Combinatorial Optimization with Policy Adaptation using Latent Space Search. NeurIPS Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett
2023	J	`jnl`	Combinatorial Optimization with Policy Adaptation using Latent Space Search. CoRR Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett
2023	J	`jnl`	Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Trans. Evol. Learn. Optim. Manon Flageat, Félix Chalumeau, Antoine Cully
2023	A	`conf`	MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. GECCO Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2023	J	`jnl`	MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. CoRR Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully
2023	A*	`conf`	Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
2023	J	`jnl`	QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully
2023	A	`conf`	The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2023	J	`jnl`	The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert
2022	J	`jnl`	Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert
2022	A	`conf`	Diversity policy gradient for sample efficient quality-diversity optimization. GECCO Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert
2022	J	`jnl`	Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. CoRR Manon Flageat, Félix Chalumeau, Antoine Cully
2022	J	`jnl`	Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
2021	B	`conf`	SeaPearl: A Constraint Programming Solver Guided by Reinforcement Learning. CPAIOR Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau
2021	J	`jnl`	SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning. CoRR Félix Chalumeau, Ilan Coulon, Quentin Cappart, Louis-Martin Rousseau