Valentin Macé
Valentin Macé
AI Research Engineer - InstaDeep / Sorbonne University
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Cited by
Cited by
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
T Pierrot, V Macé, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ...
GECCO, The Genetic and Evolutionary Computation Conference, 2022
Using whole document context in neural machine translation
V Macé, C Servan
arXiv preprint arXiv:1910.07481, 2019
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
F Chalumeau, R Boige, B Lim, V Macé, M Allard, A Flajolet, A Cully, ...
arXiv preprint arXiv:2210.03516, 2022
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
F Chalumeau, T Pierrot, V Macé, A Flajolet, K Beguir, A Cully, ...
arXiv preprint arXiv:2211.13742, 2022
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization.(2021)
T Pierrot, V Macé, G Cideron, K Beguir, A Cully, O Sigaud, N Perrin
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
V Macé, R Boige, F Chalumeau, T Pierrot, G Richard, N Perrin-Gilbert
arXiv preprint arXiv:2303.16207, 2023
Sample efficient Quality Diversity for neural continuous control
T Pierrot, V Macé, G Cideron, N Perrin, K Beguir, O Sigaud
Factored Action Spaces in Deep Reinforcement Learning
T PIERROT, V Macé, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ...
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
F Chalumeau, B Lim, R Boige, M Allard, L Grillotti, M Flageat, V Macé, ...
arXiv preprint arXiv:2308.03665, 2023
On the Use of Dependencies in Relation Classification of Text with Deep Learning
B Espinasse, S Fournier, A Chifu, G Guibon, R Azcurra, V Mace
International Conference on Computational Linguistics and Intelligent Text …, 2019
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