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Data-driven control of spatiotemporal chaos with reduced-order neural
  ODE-based models and reinforcement learning

Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning

1 May 2022
Kevin Zeng
Alec J. Linot
M. Graham
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning"

12 / 12 papers shown
Title
Data-assimilated model-informed reinforcement learning
Data-assimilated model-informed reinforcement learning
D. E. Ozan
Andrea Nóvoa
Georgios Rigas
Luca Magri
AI4CE
95
0
0
02 Jun 2025
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
94
2
0
09 Sep 2024
Data-driven low-dimensional model of a sedimenting flexible fiber
Data-driven low-dimensional model of a sedimenting flexible fiber
Andrew J Fox
Michael D. Graham
AI4CE
90
2
0
16 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
140
4
0
29 Apr 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence:
  Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series
  Models
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
Muralikrishnan Gopalakrishnan Meena
Demetri Liousas
Andrew D. Simin
Aditya Kashi
Wesley Brewer
James J. Riley
S. D. B. Kops
AI4TSAI4CE
66
1
0
24 Apr 2024
Controlgym: Large-Scale Control Environments for Benchmarking
  Reinforcement Learning Algorithms
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Xiangyuan Zhang
Weichao Mao
S. Mowlavi
M. Benosman
Tamer Basar
OffRLAI4CE
93
3
0
30 Nov 2023
Learning a model is paramount for sample efficiency in reinforcement
  learning control of PDEs
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
Stefan Werner
Sebastian Peitz
119
9
0
14 Feb 2023
Turbulence control in plane Couette flow using low-dimensional neural
  ODE-based models and deep reinforcement learning
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
Alec J. Linot
Kevin Zeng
M. Graham
AI4CE
59
19
0
28 Jan 2023
Dynamics of a data-driven low-dimensional model of turbulent minimal
  Couette flow
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow
Alec J. Linot
M. Graham
AI4CE
64
22
0
11 Jan 2023
Deep learning delay coordinate dynamics for chaotic attractors from
  partial observable data
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data
Charles D. Young
M. Graham
63
16
0
20 Nov 2022
Data-driven low-dimensional dynamic model of Kolmogorov flow
Data-driven low-dimensional dynamic model of Kolmogorov flow
Carlos E. Pérez De Jesús
M. Graham
114
24
0
29 Oct 2022
Data-driven Control of Agent-based Models: an Equation/Variable-free
  Machine Learning Approach
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
Dimitrios G. Patsatzis
Lucia Russo
Ioannis G. Kevrekidis
Constantinos Siettos
73
21
0
12 Jul 2022
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