| Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization T Pierrot, V Macé, F Chalumeau, A Flajolet, G Cideron, K Beguir, A Cully, ... Proceedings of the Genetic and Evolutionary Computation Conference, 2022 | 51* | 2022 |
| Learning compositional neural programs with recursive tree search and planning T Pierrot, G Ligner, SE Reed, O Sigaud, N Perrin, A Laterre, D Kas, ... Advances in Neural Information Processing Systems 32, 2019 | 39 | 2019 |
| Early computational detection of potential high-risk SARS-CoV-2 variants K Beguir, MJ Skwark, Y Fu, T Pierrot, NL Carranza, A Laterre, I Kadri, ... Computers in biology and medicine 155, 106618, 2023 | 11 | 2023 |
| Multi-Objective Quality Diversity Optimization T Pierrot, G Richard, K Beguir, A Cully Proceedings of the Genetic and Evolutionary Computation Conference, 2022 | 9 | 2022 |
| Offline reinforcement learning hands-on L Monier, J Kmec, A Laterre, T Pierrot, V Courgeau, O Sigaud, K Beguir arXiv preprint arXiv:2011.14379, 2020 | 9 | 2020 |
| First-order and second-order variants of the gradient descent in a unified framework T Pierrot, N Perrin-Gilbert, O Sigaud Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 7 | 2021 |
| 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, ... The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
| Fast population-based reinforcement learning on a single machine A Flajolet, CB Monroc, K Beguir, T Pierrot International Conference on Machine Learning, 6533-6547, 2022 | 5 | 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 | 3 | 2022 |
| Designing a prospective COVID-19 therapeutic with reinforcement learning MJ Skwark, NL Carranza, T Pierrot, J Phillips, S Said, A Laterre, A Kerkeni, ... arXiv preprint arXiv:2012.01736, 2020 | 3 | 2020 |
| Learning compositional neural programs for continuous control T Pierrot, N Perrin, F Behbahani, A Laterre, O Sigaud, K Beguir, ... arXiv preprint arXiv:2007.13363, 2020 | 2 | 2020 |
| Evolving Populations of Diverse RL Agents with MAP-Elites T Pierrot, A Flajolet The Eleventh International Conference on Learning Representations, 2023 | 1 | 2023 |
| Factored Action Spaces in Deep Reinforcement Learning T PIERROT, V Macé, JB Sevestre, L Monier, A Laterre, N Perrin, K Beguir, ... | 1 | |
| 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, 2023 | | 2023 |
| Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration H Janmohamed, T Pierrot, A Cully Proceedings of the Genetic and Evolutionary Computation Conference, 2023 | | 2023 |
| The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics H Dalla-Torre, L Gonzalez, J Mendoza-Revilla, NL Carranza, ... bioRxiv, 2023.01. 11.523679, 2023 | | 2023 |
| Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces G Richard, R Boige, D Jérémie, A Cully, T PIERROT Proceedings of the Genetic and Evolutionary Computation Conference, 0 | | |
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