2 papers
math.OC2019
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.flu-dyn2018
Time-stepping and Krylov methods for large-scale instability problems
Jean-Christophe Loiseau, Michele Alessandro Bucci, Stefania Cherubini +1
With the ever increasing computational power available and the development of high-performances computing, investigating the properties of realistic very large-scale nonlinear dyna…