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

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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