Luca Grillotti

According to our database, Luca Grillotti authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully

J. Mach. Learn. Res., 2024

Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics.

Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Quality with Just Enough Diversity in Evolutionary Policy Search.

Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Accelerated Quality-Diversity through Massive Parallelism.

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

Trans. Mach. Learn. Res., 2023

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

Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully

CoRR, 2023

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

Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Luca Grillotti, Antoine Cully

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains.

Manon Flageat, Luca Grillotti, Antoine Cully

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Unsupervised Behavior Discovery With Quality-Diversity Optimization.

Luca Grillotti, Antoine Cully

IEEE Trans. Evol. Comput., 2022

Discovering Unsupervised Behaviours from Full-State Trajectories.

Luca Grillotti, Antoine Cully

CoRR, 2022

Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning.

Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully

CoRR, 2022

Accelerated Quality-Diversity for Robotics through Massive Parallelism.

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

CoRR, 2022

Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires.

Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

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

Luca Grillotti, Antoine Cully

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Unsupervised Behaviour Discovery with Quality-Diversity Optimisation.

Luca Grillotti, Antoine Cully

CoRR, 2021