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2205.00579
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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
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Papers citing
"Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning"
13 / 13 papers shown
Title
Blending data and physics for reduced-order modeling of systems with spatiotemporal chaotic dynamics
Alex Guo
Michael D. Graham
AI4CE
54
0
0
21 Jul 2025
Data-assimilated model-informed reinforcement learning
D. E. Ozan
Andrea Nóvoa
Georgios Rigas
Luca Magri
AI4CE
163
0
0
02 Jun 2025
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
Matteo Tomasetto
Andrea Manzoni
Francesco Braghin
AI4CE
125
5
0
09 Sep 2024
Data-driven low-dimensional model of a sedimenting flexible fiber
Andrew J Fox
Michael D. Graham
AI4CE
102
4
0
16 May 2024
Solving Partial Differential Equations with Equivariant Extreme Learning Machines
Christine Allen-Blanchette
Jean Rabault
Ricardo Vinuesa
Mikael Mortensen
Sebastian Peitz
170
4
0
29 Apr 2024
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
AI4TS
AI4CE
74
1
0
24 Apr 2024
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
Xiangyuan Zhang
Weichao Mao
S. Mowlavi
M. Benosman
Tamer Basar
OffRL
AI4CE
116
2
0
30 Nov 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
Stefan Werner
Sebastian Peitz
131
10
0
14 Feb 2023
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
83
25
0
28 Jan 2023
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow
Alec J. Linot
M. Graham
AI4CE
72
28
0
11 Jan 2023
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data
Charles D. Young
M. Graham
83
19
0
20 Nov 2022
Data-driven low-dimensional dynamic model of Kolmogorov flow
Carlos E. Pérez De Jesús
M. Graham
125
28
0
29 Oct 2022
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
Dimitrios G. Patsatzis
Lucia Russo
Ioannis G. Kevrekidis
Constantinos Siettos
89
25
0
12 Jul 2022
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