Flageat, Manon

4 publications

AAAI 2024 Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms Manon Flageat, Bryan Lim, Antoine Cully

MLOSS 2024 QDax: A Library for Quality-Diversity and Population-Based Algorithms with Hardware Acceleration Felix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully

NeurIPSW 2023 Mix-ME: Quality-Diversity for Multi-Agent Learning Garðar Ingvarsson, Mikayel Samvelyan, Manon Flageat, Bryan Lim, Antoine Cully, Tim Rocktäschel

NeurIPSW 2022 Efficient Exploration Using Model-Based Quality-Diversity with Gradients Bryan Lim, Manon Flageat, Antoine Cully