Manon Flageat

发表

Fast and stable MAP-Elites in noisy domains using deep grids pdf

Antoine Cully, Manon Flageat, Antoine Cully, 2020, ALIFE.

Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning

Antoine Cully, Bryan Lim, Manon Flageat, 2023, GECCO.

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

Antoine Cully, Manon Flageat, Félix Chalumeau, 2022, ACM Trans. Evol. Learn. Optim..

Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies

Antoine Cully, Bryan Lim, Manon Flageat, 2023, ArXiv.

Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

Simón C. Smith, Antoine Cully, Bryan Lim, 2022, ArXiv.

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

Antoine Cully, Bryan Lim, Maxime Allard, 2023, ArXiv.

Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains

Antoine Cully, Luca Grillotti, Manon Flageat, 2023, GECCO Companion.

Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains

Antoine Cully, Bryan Lim, Luca Grillotti, 2023, GECCO.

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

Antoine Cully, Manon Flageat, Félix Chalumeau, 2023, GECCO.

Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains

Antoine Cully, Manon Flageat, 2023, IEEE Transactions on Evolutionary Computation.

Fast and stable MAP-Elites in noisy domains using deep grids

Antoine Cully, Manon Flageat, 2020, ALIFE.

Efficient Exploration using Model-Based Quality-Diversity with Gradients

Antoine Cully, Bryan Lim, Manon Flageat, 2022, The 2023 Conference on Artificial Life.