259 citations · 487 across the 12 of their papers we have counts for
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math.OC2019★ 84 cited
Control of chaotic systems by Deep Reinforcement Learning
Michele Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen +3
Deep Reinforcement Learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto-Sivashinsky (KS) equation. DRL uses reinforcement learn…
physics.comp-ph2019★ 259 cited
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors
N. Benjamin Erichson, Lionel Mathelin, Zhewei Yao +3
In many applications, it is important to reconstruct a fluid flow field, or some other high-dimensional state, from limited measurements and limited data. In this work, we propose…