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2304.02370
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Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need
5 April 2023
Colin Vignon
Jean Rabault
Joel Vasanth
Francisco Alcántara-Ávila
M. Mortensen
Ricardo Vinuesa
AI4CE
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Papers citing
"Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need"
16 / 16 papers shown
Title
Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders
Fynn Fromme
Christine Allen-Blanchette
Hans Harder
Sebastian Peitz
AI4CE
SyDa
7
0
0
19 May 2025
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
Thorben Markmann
Michiel Straat
Sebastian Peitz
Barbara Hammer
AI4CE
38
0
0
16 Apr 2025
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
Luning Sun
Xin-Yang Liu
Siyan Zhao
Aditya Grover
Jian-Xun Wang
Jayaraman J. Thiagarajan
AI4CE
26
0
0
08 Apr 2025
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models
Matteo Tomasetto
Francesco Braghin
Andrea Manzoni
OffRL
AI4CE
94
0
0
13 Dec 2024
Navigation in a simplified Urban Flow through Deep Reinforcement Learning
Federica Tonti
Jean Rabault
Ricardo Vinuesa
41
3
0
26 Sep 2024
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
Matteo Tomasetto
Andrea Manzoni
Francesco Braghin
AI4CE
27
1
0
09 Sep 2024
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
Mirko Conrad
Jean Rabault
Francisco Alcántara-Ávila
Mikael Mortensen
Ricardo Vinuesa
AI4CE
35
4
0
31 Jul 2024
Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality
Joogoo Jeon
Jean Rabault
Joel Vasanth
Francisco Alcántara-Ávila
Shilaj Baral
Ricardo Vinuesa
AI4CE
54
6
0
25 Jul 2024
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection
Thorben Markmann
Michiel Straat
Barbara Hammer
AI4CE
35
4
0
10 May 2024
Solving Partial Differential Equations with Equivariant Extreme Learning Machines
Hans Harder
Jean Rabault
Ricardo Vinuesa
Mikael Mortensen
Sebastian Peitz
46
3
0
29 Apr 2024
Model-based deep reinforcement learning for accelerated learning from flow simulations
Andre Weiner
Janis Geise
AI4CE
21
3
0
26 Feb 2024
Active flow control for three-dimensional cylinders through deep reinforcement learning
P. Suárez
Francisco Alcántara-Ávila
A. Miró
Jean Rabault
B. Font
O. Lehmkuhl
R. Vinuesa
AI4CE
19
9
0
04 Sep 2023
Gym-preCICE: Reinforcement Learning Environments for Active Flow Control
M. Shams
A. Elsheikh
AI4CE
16
4
0
03 May 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
Sebastian Peitz
J. Stenner
V. Chidananda
Oliver Wallscheid
Steven L. Brunton
Kunihiko Taira
AI4CE
27
19
0
25 Jan 2023
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems
Marius Kurz
Philipp Offenhäuser
Dominic Viola
Oleksandr Shcherbakov
Michael M. Resch
Andrea Beck
AI4CE
40
22
0
13 May 2022
Comparative analysis of machine learning methods for active flow control
F. Pino
Lorenzo Schena
Jean Rabault
M. A. Mendez
31
43
0
23 Feb 2022
1