| 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, 1075-1083, 2022 | 48 | 2022 |
| Online Learning with a Hint O Dekel, N Haghtalab, P Jaillet Advances in Neural Information Processing Systems, 5299-5308, 2017 | 44 | 2017 |
| Robust adaptive routing under uncertainty A Flajolet, S Blandin, P Jaillet Operations Research 66 (1), 210-229, 2017 | 32 | 2017 |
| Method for autonomously weeding crops in an agricultural field T Palomares, S Boyer, A Flajolet, E Stahl-David US Patent 10,455,826, 2019 | 24 | 2019 |
| Real-time bidding with side information A Flajolet, P Jaillet Proceedings of the 31st International Conference on Neural Information …, 2017 | 19 | 2017 |
| 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 | 17 | 2022 |
| Logarithmic regret bounds for Bandits with Knapsacks A Flajolet, P Jaillet arXiv preprint arXiv:1510.01800, 2015 | 16 | 2015 |
| 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 | 10 | 2022 |
| Method for analyzing individual plants in an agricultural field M Javault, P Canteneur, A Flajolet, S Boyer, T Palomares US Patent 11,237,563, 2022 | 10 | 2022 |
| Method for autonomous detection of crop location based on tool depth and location A Flajolet, E Stahl-David, S Boyer, T Palomares US Patent 10,845,810, 2020 | 10 | 2020 |
| Evolving Populations of Diverse RL Agents with MAP-Elites T Pierrot, A Flajolet The Eleventh International Conference on Learning Representations, 2023 | 7 | 2023 |
| 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 | 5 | 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 |
| So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Admete, ... bioRxiv, 2022.10. 15.511553, 2022 | 4 | 2022 |
| ManyFold: an efficient and flexible library for training and validating protein folding models A Villegas-Morcillo, L Robinson, A Flajolet, TD Barrett Bioinformatics 39 (1), btac773, 2023 | 2 | 2023 |
| No-Regret Learnability for Piecewise Linear Losses A Flajolet, P Jaillet arXiv preprint arXiv:1411.5649, 2014 | 2 | 2014 |
| Pasta: Pretrained action-state transformer agents R Boige, Y Flet-Berliac, A Flajolet, G Richard, T Pierrot arXiv preprint arXiv:2307.10936, 2023 | 1 | 2023 |
| Adaptive optimization problems under uncertainty with limited feedback A Flajolet Massachusetts Institute of Technology, 2017 | | 2017 |
