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 | 50 | 2022 |
Using whole document context in neural machine translation V Macé, C Servan arXiv preprint arXiv:1910.07481, 2019 | 37 | 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 | 19 | 2022 |
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, ... Journal of Machine Learning Research 25 (108), 1-16, 2024 | 7 | 2024 |
The quality-diversity transformer: Generating behavior-conditioned trajectories with decision transformers V Macé, R Boige, F Chalumeau, T Pierrot, G Richard, N Perrin-Gilbert Proceedings of the Genetic and Evolutionary Computation Conference, 1221-1229, 2023 | 6 | 2023 |
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 | 5 | 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 | 4 | 2021 |
Sample efficient Quality Diversity for neural continuous control T Pierrot, V Macé, G Cideron, N Perrin, K Beguir, O Sigaud | 2 | 2020 |
Factored action spaces in deep reinforcement learning T PIERROT, V Macé, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ... | 2 | 2020 |
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 | | 2019 |