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Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach
12 July 2022
Dimitrios G. Patsatzis
Lucia Russo
Ioannis G. Kevrekidis
Constantinos Siettos
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Papers citing
"Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach"
13 / 13 papers shown
Title
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning
Kevin Zeng
Alec J. Linot
M. Graham
AI4CE
66
29
0
01 May 2022
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space
N. Evangelou
Felix Dietrich
E. Chiavazzo
Daniel Lehmberg
M. Meilă
Ioannis G. Kevrekidis
51
23
0
26 Apr 2022
Solving and Learning Nonlinear PDEs with Gaussian Processes
Yifan Chen
Bamdad Hosseini
H. Owhadi
Andrew M. Stuart
79
157
0
24 Mar 2021
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
102
710
0
19 Mar 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
516
2,456
0
18 Oct 2020
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas
G. Arampatzis
Caroline Uhler
Petros Koumoutsakos
AI4CE
91
150
0
24 Jun 2020
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)
Jonathan B Freund
J. MacArt
Justin A. Sirignano
AI4CE
165
136
0
20 Nov 2019
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs
Z. Cai
Jingshuang Chen
Min Liu
Xinyu Liu
64
90
0
05 Nov 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
248
2,162
0
08 Oct 2019
DeepXDE: A deep learning library for solving differential equations
Lu Lu
Xuhui Meng
Zhiping Mao
George Karniadakis
PINN
AI4CE
101
1,549
0
10 Jul 2019
Molecular enhanced sampling with autoencoders: On-the-fly collective variable discovery and accelerated free energy landscape exploration
Wei Chen
Andrew L. Ferguson
66
200
0
30 Dec 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
M. Raissi
George Karniadakis
AI4CE
PINN
84
1,143
0
02 Aug 2017
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Kelum Gajamannage
Randy Paffenroth
Erik Bollt
50
28
0
21 Jul 2017
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