
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Felix Chalumeau*, Raphael Boige*, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot
ICLR, Notable-Top-25% (Spotlight), 2023


Accelerated Quality-Diversity for Robotics through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
Published in Transactions on Machine Learning Research, 2023
The Genetic and Evolutionary Computation Conference (GECCO) – Poster, 2022
Agent Learning in Open-Endedness Workshop, ICLR (Spotlight Talk), 2022
Hierarchical Quality-Diversity for Online Damage Recovery


Benchmarking Quality-Diversity Algorithms
on Neuroevolution for Reinforcement Learning
Manon Flageat*,Bryan Lim*, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully
Quality Diversity Algorithm Benchmarks Workshop, The Genetic and Evolutionary Computation Conference (GECCO) 2022
Other Research
- Classification Of Sparsely Labeled Text Documents While Preserving Semantics
JJ Thomas, AE Petrov, W Wang, M Allard – US Patent US 11455527 B2, 2022 - Providing semantic completeness assessment with minimal domain-specific data
JJ Thomas, M Allard, AE Petrov, VR Dandin, W Wang – US Patent US 11514246 B2, 2022