Data-driven Control of Agent-based Models: an Equation/Variable-free
Machine Learning Approach

v1v2 (latest)

Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach

12 July 2022

Dimitrios G. Patsatzis

Ioannis G. Kevrekidis

Constantinos Siettos

ArXiv (abs)PDF HTML

Papers citing "Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach"

14 / 14 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 57 23 0 26 Apr 2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach Evangelos Galaris Gianluca Fabiani I. Gallos Ioannis G. Kevrekidis Constantinos Siettos AI4CE 95 42 0 31 Jan 2022
Solving and Learning Nonlinear PDEs with Gaussian Processes Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 82 157 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 168 136 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 67 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 68 200 0 30 Dec 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 84 1,144 0 02 Aug 2017
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics Kelum Gajamannage Randy Paffenroth Erik Bollt 60 28 0 21 Jul 2017