Jean Rabault - RankMe

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez
2025	J	`jnl`	Deep-reinforcement-learning-based separation control in a two-dimensional airfoil. CoRR Xavier Garcia, Arnau Miró, Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
2025	J	`jnl`	Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez
2025	J	`jnl`	Navigation in a simplified urban flow through deep reinforcement learning. J. Comput. Phys. Federica Tonti, Jean Rabault, Ricardo Vinuesa
2024	J	`jnl`	Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality. CoRR Joogoo Jeon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Shilaj Baral, Ricardo Vinuesa
2024	J	`jnl`	Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection. CoRR Joel Vasanth, Jean Rabault, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa
2024	J	`jnl`	Navigation in a simplified Urban Flow through Deep Reinforcement Learning. CoRR Federica Tonti, Jean Rabault, Ricardo Vinuesa
2024	J	`jnl`	Opportunities for machine learning in scientific discovery. CoRR Ricardo Vinuesa, Jean Rabault, Hossein Azizpour, Stefan Bauer, Bingni W. Brunton, Arne Elofsson, Elias Jarlebring, Hedvig Kjellström, Stefano Markidis, David Marlevi, Paola Cinnella, Steven L. Brunton
2024	J	`jnl`	Towards Active Flow Control Strategies Through Deep Reinforcement Learning. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ivette Rodríguez
2023	J	`jnl`	Active flow control for three-dimensional cylinders through deep reinforcement learning. CoRR Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
2023	J	`jnl`	Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need. CoRR Colin Vignon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa
2022	J	`jnl`	Comparative analysis of machine learning methods for active flow control. CoRR Fabio Pino, Lorenzo Schena, Jean Rabault, Alexander Kuhnle, Miguel A. Mendez
2021	J	`jnl`	Direct shape optimization through deep reinforcement learning. J. Comput. Phys. Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Aurélien Larcher, Elie Hachem
2019	J	`jnl`	A review on Deep Reinforcement Learning for Fluid Mechanics. CoRR Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem
2019	J	`jnl`	Direct shape optimization through deep reinforcement learning. CoRR Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Elie Hachem
2016	J	`jnl`	Measurements of Waves in Landfast Ice Using Inertial Motion Units. IEEE Trans. Geosci. Remote. Sens. Jean Rabault, Graig Sutherland, Brian Ward, Kai Håkon Christensen, Trygve Halsne, Atle Jensen