Jonathan Viquerat

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Policy Gradient

Reinforcement Learning

Top Venues

J. Comput. Phys.

J. Comput. Appl. Math.

Neural Comput. Appl.

Publications

Jonathan Viquerat, Philippe Meliga, Pablo Jeken, Elie Hachem
Beacon, a lightweight deep reinforcement learning benchmark library for flow control. CoRR (2024)
Jonathan Viquerat, R. Duvigneau, P. Meliga, Alexander Kuhnle, Elie Hachem
Policy-based optimization: single-step policy gradient method seen as an evolution strategy. Neural Comput. Appl. 35 (1) (2023)
Jonathan Viquerat, Elie Hachem
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications. CoRR (2023)
J. Chen, Jonathan Viquerat, F. Heymes, Elie Hachem
A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles. Neural Comput. Appl. 34 (8) (2022)
Ying Zhao, Liang Li, Stéphane Lanteri, Jonathan Viquerat
Dynamic metasurface control using Deep Reinforcement Learning. Math. Comput. Simul. 197 (2022)
Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Aurélien Larcher, Elie Hachem
Direct shape optimization through deep reinforcement learning. J. Comput. Phys. 428 (2021)
Elie Hachem, Hassan Ghraieb, Jonathan Viquerat, Aurélien Larcher, P. Meliga
Deep reinforcement learning for the control of conjugate heat transfer. J. Comput. Phys. 436 (2021)
Hassan Ghraieb, Jonathan Viquerat, Aurélien Larcher, P. Meliga, Elie Hachem
Optimization and passive flow control using single-step deep reinforcement learning. CoRR (2020)
Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem
A review on Deep Reinforcement Learning for Fluid Mechanics. CoRR (2019)
Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Elie Hachem
Direct shape optimization through deep reinforcement learning. CoRR (2019)
Nikolai Schmitt, Claire Scheid, Jonathan Viquerat, Stéphane Lanteri
Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method. J. Comput. Phys. 373 (2018)
Stéphane Lanteri, Claire Scheid, Jonathan Viquerat
Analysis of a Generalized Dispersive Model Coupled to a DGTD Method with Application to Nanophotonics. SIAM J. Sci. Comput. 39 (3) (2017)
Nikolai Schmitt, Claire Scheid, Stéphane Lanteri, Antoine Moreau, Jonathan Viquerat
A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects. J. Comput. Phys. 316 (2016)
Jonathan Viquerat, Claire Scheid
A 3D curvilinear discontinuous Galerkin time-domain solver for nanoscale light-matter interactions. J. Comput. Appl. Math. 289 (2015)
Raphaël Léger, Jonathan Viquerat, Clément Durochat, Claire Scheid, Stéphane Lanteri
A parallel non-conforming multi-element DGTD method for the simulation of electromagnetic wave interaction with metallic nanoparticles. J. Comput. Appl. Math. 270 (2014)