Jean Rabault

According to our database, Jean Rabault authored at least 7 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Active flow control for three-dimensional cylinders through deep reinforcement learning.

Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa

CoRR, 2023

Effective control of two-dimensional Rayleigh-Bénard convection: invariant multi-agent reinforcement learning is all you need.

Colin Vignon, Jean Rabault, Joel Vasanth, Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa

CoRR, 2023

2022

Comparative analysis of machine learning methods for active flow control.

Fabio Pino, Lorenzo Schena, Jean Rabault, Alexander Kuhnle, Miguel A. Mendez

CoRR, 2022

2021

Direct shape optimization through deep reinforcement learning.

Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Aurélien Larcher, Elie Hachem

J. Comput. Phys., 2021

2019

Direct shape optimization through deep reinforcement learning.

Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Elie Hachem

CoRR, 2019

A review on Deep Reinforcement Learning for Fluid Mechanics.

Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem

CoRR, 2019

2016

Measurements of Waves in Landfast Ice Using Inertial Motion Units.

Jean Rabault, Graig Sutherland, Brian Ward, Kai Håkon Christensen, Trygve Halsne, Atle Jensen

IEEE Trans. Geosci. Remote. Sens., 2016