Research


Accelerated Quality-Diversity for Robotics through Massive Parallelism

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully 
The Genetic and Evolutionary Computation Conference (GECCO) – Poster, 2022
Agent Learning in Open-Endedness Workshop, ICLR (Spotlight Talk), 2022

Code : QDax | Pre-Print: arXiv

Hierarchical Quality-Diversity for Online Damage Recovery

Maxime Allard, Simón C. Smith, Konstantinos Chatzilygeroudis, Antoine Cully
The Genetic and Evolutionary Computation Conference (GECCO) – Full Paper, Oral Presentation & Best Paper Award Nomination, 2022

Code : To Follow | Pre-Print: arXiv

Other Research


  • Providing semantic completeness assessment with minimal domain-specific data
    JJ Thomas, M Allard, AE Petrov, VR Dandin, W Wang – US Patent App. 16/663,754, 2021
  • Classification Of Sparsely Labeled Text Documents While Preserving Semantics
    JJ Thomas, AE Petrov, W Wang, M Allard – US Patent App. 16/441,927, 2020
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