Publications

2023

1. 

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

   Luca Grillotti*, Manon Flageat*, Bryan Lim, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference, 2023

   PDF
2. GECCO
   QD Benchmark
   Workshop

   Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains

   Manon Flageat, Luca Grillotti, and Antoine Cully

   In GECCO Workshop on Benchmarks for Quality-Diversity algorithms, 2023

   PDF
3. GECCO
   QD Benchmark
   Workshop

   Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms

   Luca Grillotti, and Antoine Cully

   In GECCO Workshop on Benchmarks for Quality-Diversity algorithms, 2023
4. TMLR

   Accelerated Quality-Diversity through Massive Parallelism

   Bryan Lim, Maxime Allard, Luca Grillotti, and 1 more author

   Transactions on Machine Learning Research, 2023

   Bib PDF

   @article{lim2023accelerated,
     title = {Accelerated Quality-Diversity through Massive Parallelism},
     author = {Lim, Bryan and Allard, Maxime and Grillotti, Luca and Cully, Antoine},
     journal = {Transactions on Machine Learning Research},
     year = {2023},
   }

2022

1. 

   Unsupervised Behavior Discovery With Quality-Diversity Optimization

   Luca Grillotti, and Antoine Cully

   IEEE Transactions on Evolutionary Computation, 2022

   Bib HTML PDF

   @article{grillotti2022unsupervised,
     title = {Unsupervised Behavior Discovery With Quality-Diversity Optimization},
     author = {Grillotti, Luca and Cully, Antoine},
     journal = {IEEE Transactions on Evolutionary Computation},
     volume = {26},
     number = {6},
     pages = {1539--1552},
     year = {2022},
     publisher = {IEEE},
   }

2. ICRA

   Dynamics-aware quality-diversity for efficient learning of skill repertoires

   Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, and 1 more author

   In 2022 International Conference on Robotics and Automation (ICRA), 2022

   Bib HTML PDF

   @inproceedings{lim2022dynamics,
     title = {Dynamics-aware quality-diversity for efficient learning of skill repertoires},
     author = {Lim, Bryan and Grillotti, Luca and Bernasconi, Lorenzo and Cully, Antoine},
     booktitle = {2022 International Conference on Robotics and Automation (ICRA)},
     pages = {5360--5366},
     year = {2022},
     organization = {IEEE},
   }

3. ICLR
   ALOE Workshop

   Accelerated Quality-Diversity for Robotics through Massive Parallelism

   Bryan Lim, Maxime Allard, Luca Grillotti, and 1 more author

   In ICLR Workshop on Agent Learning in Open-Endedness, 2022

   Bib PDF

   @inproceedings{lim2022accelerated,
     title = {Accelerated Quality-Diversity for Robotics through Massive Parallelism},
     author = {Lim, Bryan and Allard, Maxime and Grillotti, Luca and Cully, Antoine},
     booktitle = {ICLR Workshop on Agent Learning in Open-Endedness},
     year = {2022},
   }

4. 

   Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms

   Luca Grillotti, and Antoine Cully

   In Proceedings of the Genetic and Evolutionary Computation Conference, 2022

   Bib HTML PDF

   @inproceedings{grillotti2022relevance,
     title = {Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms},
     author = {Grillotti, Luca and Cully, Antoine},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
     pages = {77--85},
     year = {2022},
   }

5. ICLR
   ALOE Workshop

   Discovering Unsupervised Behaviours from Full State Trajectories

   Luca Grillotti, and Antoine Cully

   In ICLR Workshop on Agent Learning in Open-Endedness, 2022

   Bib PDF

   @inproceedings{grillotti2022discovering,
     title = {Discovering Unsupervised Behaviours from Full State Trajectories},
     author = {Grillotti, Luca and Cully, Antoine},
     booktitle = {ICLR Workshop on Agent Learning in Open-Endedness},
     year = {2022},
   }

6. GECCO
   QD Benchmark
   Workshop

   Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

   Manon Flageat, Bryan Lim, Luca Grillotti, and 3 more authors

   In GECCO Workshop on Benchmarks for Quality-Diversity algorithms, 2022

   PDF
7. GECCO Poster

   QDax: on the benefits of massive parallelization for quality-diversity

   Bryan Lim, Maxime Allard, Luca Grillotti, and 1 more author

   In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022

   Bib HTML PDF

   @inproceedings{lim2022qdax,
     title = {QDax: on the benefits of massive parallelization for quality-diversity},
     author = {Lim, Bryan and Allard, Maxime and Grillotti, Luca and Cully, Antoine},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
     pages = {128--131},
     year = {2022},
   }