Valentin Macé

According to our database, Valentin Macé authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Diversity based exploration for deep reinforcement learning. (Exploration fondée sur la diversité pour l'apprentissage par renforcement profond).

Valentin Macé

PhD thesis, 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

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

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers.

Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems.

Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert

CoRR, 2022

Diversity policy gradient for sample efficient quality-diversity optimization.

Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert

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

2019

Using Whole Document Context in Neural Machine Translation.

Valentin Macé, Christophe Servan

Proceedings of the 16th International Conference on Spoken Language Translation, 2019

On the Use of Dependencies in Relation Classification of Text with Deep Learning.

Bernard Espinasse, Sébastien Fournier, Adrian-Gabriel Chifu, Gaël Guibon, René Azcurra, Valentin Macé

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019