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Valentin Macé
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2020 – today
- 2024
- [b1]Valentin Macé:
Diversity based exploration for deep reinforcement learning. (Exploration fondée sur la diversité pour l'apprentissage par renforcement profond). Sorbonne University, Paris, France, 2024 - [j1]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024) - 2023
- [c5]Valentin Macé
, Raphaël Boige
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. GECCO 2023: 1221-1229 - [c4]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR 2023 - [i5]Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin-Gilbert:
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers. CoRR abs/2303.16207 (2023) - [i4]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR abs/2308.03665 (2023) - 2022
- [c3]Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert:
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO 2022: 1075-1083 - [i3]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR abs/2210.03516 (2022) - [i2]Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert:
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR abs/2211.13742 (2022)
2010 – 2019
- 2019
- [c2]Bernard Espinasse, Sébastien Fournier, Adrian-Gabriel Chifu, Gaël Guibon, René Azcurra, Valentin Macé:
On the Use of Dependencies in Relation Classification of Text with Deep Learning. CICLing (2) 2019: 379-391 - [c1]Valentin Macé, Christophe Servan:
Using Whole Document Context in Neural Machine Translation. IWSLT 2019 - [i1]Valentin Macé, Christophe Servan:
Using Whole Document Context in Neural Machine Translation. CoRR abs/1910.07481 (2019)
Coauthor Index
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