| Direct shape optimization through deep reinforcement learning J Viquerat, J Rabault, A Kuhnle, H Ghraieb, A Larcher, E Hachem Journal of Computational Physics 428, 110080, 2021 | 152 | 2021 |
| Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows H Ghraieb, J Viquerat, A Larcher, P Meliga, E Hachem Physical Review Fluids 6 (5), 053902, 2021 | 42 | 2021 |
| Deep reinforcement learning for the control of conjugate heat transfer E Hachem, H Ghraieb, J Viquerat, A Larcher, P Meliga Journal of Computational Physics 436, 110317, 2021 | 29 | 2021 |
| Single-step deep reinforcement learning for two-and three-dimensional optimal shape design H Ghraieb, J Viquerat, A Larcher, P Meliga, E Hachem AIP Advances 12 (8), 2022 | 11 | 2022 |
| Optimization and passive flow control using single-step deep reinforcement learning H Ghraieb, J Viquerat, A Larcher, P Meliga, E Hachem arXiv preprint arXiv:2006.02979, 2020 | 6 | 2020 |
| Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling E Hachem, H Ghraieb, J Viquerat, A Larcher, P Meliga arXiv preprint arXiv:2011.15035, 2020 | 5 | 2020 |
| Reinforcement learning for patient-specific optimal stenting of intracranial aneurysms E Hachem, P Meliga, A Goetz, PJ Rico, J Viquerat, A Larcher, R Valette, ... Scientific Reports 13 (1), 7147, 2023 | 4 | 2023 |
| On the coupling of deep reinforcement learning and computational fluid dynamics H Ghraieb Université Paris sciences et lettres, 2022 | | 2022 |
| Deep reinforcement learning for fluid mechanics E Hachem, P Meliga, H Ghraieb, R Nemer, R Valette, J Viquerat, ... 8th European Congress on Computational Methods in Applied Sciences and …, 2022 | | 2022 |
| Sur le Couplage de l’Apprentissage par Renforcement Profond et de la Mecanique des Fluides Numerique On the Coupling of Deep Reinforcement Learning and Computational Fluid Dynamics H Ghraieb | | |
