Manon Flageat - RankMe

34 papers A* 1A 5B 1C 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring the Performance-Reproducibility Trade-Off in Quality-Diversity. IEEE Trans. Evol. Comput. Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully
2025	—	`conf`	Evolutionary Reinforcement Learning. GECCO Companion Antoine Cully, Bryan Lim, Paul Templier, Manon Flageat
2025	A	`conf`	Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. GECCO Manon Flageat, Johann Huber, François Hélénon, Stéphane Doncieux, Antoine Cully
2025	J	`jnl`	Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains. CoRR Manon Flageat, Johann Huber, François Hélénon, Stéphane Doncieux, Antoine Cully
2025	J	`jnl`	Remotely Detectable Robot Policy Watermarking. CoRR Michael Amir, Manon Flageat, Amanda Prorok
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	A*	`conf`	Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. AAAI Manon Flageat, Bryan Lim, Antoine Cully
2024	A	`conf`	Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. GECCO Manon Flageat, Bryan Lim, Antoine Cully
2024	—	`conf`	Evolutionary Reinforcement Learning. GECCO Companion Manon Flageat, Bryan Lim, Antoine Cully
2024	J	`jnl`	Exploring the Performance-Reproducibility Trade-off in Quality-Diversity. CoRR Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully
2024	J	`jnl`	Large Language Models as In-context AI Generators for Quality-Diversity. CoRR Bryan Lim, Manon Flageat, Antoine Cully
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
2024	J	`jnl`	Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains. IEEE Trans. Evol. Comput. Manon Flageat, Antoine Cully
2023	—	`conf`	Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. GECCO Companion Manon Flageat, Luca Grillotti, Antoine Cully
2023	J	`jnl`	Benchmark tasks for Quality-Diversity applied to Uncertain domains. CoRR Manon Flageat, Luca Grillotti, Antoine Cully
2023	J	`jnl`	Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms. CoRR Manon Flageat, Bryan Lim, Antoine Cully
2023	A	`conf`	Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. GECCO Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully
2023	J	`jnl`	Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. CoRR Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully
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	J	`jnl`	Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel
2023	J	`jnl`	Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies. CoRR Manon Flageat, Bryan Lim, Antoine Cully
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	J	`jnl`	Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. CoRR Manon Flageat, Antoine Cully
2023	A	`conf`	Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. GECCO Bryan Lim, Manon Flageat, Antoine Cully
2023	J	`jnl`	Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. CoRR Bryan Lim, Manon Flageat, Antoine Cully
2022	J	`jnl`	Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully
2022	J	`jnl`	Efficient Exploration using Model-Based Quality-Diversity with Gradients. CoRR Bryan Lim, Manon Flageat, Antoine Cully
2022	J	`jnl`	Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. CoRR Manon Flageat, Félix Chalumeau, Antoine Cully
2020	C	`conf`	Fast and stable MAP-Elites in noisy domains using deep grids. ALIFE Manon Flageat, Antoine Cully
2020	J	`jnl`	Fast and stable MAP-Elites in noisy domains using deep grids. CoRR Manon Flageat, Antoine Cully
2020	B	`conf`	Incorporating Human Priors into Deep Reinforcement Learning for Robotic Control. ESANN Manon Flageat, Kai Arulkumaran, Anil A. Bharath