受强制性开放获取政策约束的文章 - Onofrio Semeraro了解详情
可在其他位置公开访问的文章：20 篇
Control of chaotic systems by Deep Reinforcement Learning
MA Bucci, O Semeraro, A Allauzen, G Wisniewski, L Cordier, L Mathelin
Proc. R. Soc. A 475, 20190351, 2019
强制性开放获取政策： Agence Nationale de la Recherche
Resolvent-based modeling of coherent wave packets in a turbulent jet
L Lesshafft, O Semeraro, V Jaunet, AVG Cavalieri, P Jordan
Physical Review Fluids 4 (6), 063901, 2019
强制性开放获取政策： Agence Nationale de la Recherche
Feedback control of three-dimensional optimal disturbances using reduced-order models
O Semeraro, S Bagheri, L Brandt, DS Henningson
Journal of Fluid Mechanics 677, 63-102, 2011
强制性开放获取政策： Swedish Research Council
Adaptive and model-based control theory applied to convectively unstable flows
N Fabbiane, O Semeraro, S Bagheri, DS Henningson
Applied Mechanics Reviews 66 (6), 060801, 2014
强制性开放获取政策： Swedish Research Council
Transition delay in a boundary layer flow using active control
O Semeraro, S Bagheri, L Brandt, DS Henningson
Journal of Fluid Mechanics 731, 288-311, 2013
强制性开放获取政策： Swedish Research Council
Riccati-less approach for optimal control and estimation: an application to two-dimensional boundary layers
O Semeraro, JO Pralits, CW Rowley, DS Henningson
Journal of Fluid Mechanics 731, 394-417, 2013
强制性开放获取政策： Swedish Research Council
Output feedback control of Blasius flow with leading edge using plasma actuator
R Dadfar, O Semeraro, A Hanifi, DS Henningson
AIAA journal 51 (9), 2192-2207, 2013
强制性开放获取政策： Swedish Research Council
Boundary layer transition induced by low-speed synthetic jets
A Palumbo, O Semeraro, JC Robinet, L de Luca
Physics of Fluids, 2022
强制性开放获取政策： European Commission, Government of Italy
Curriculum learning for data-driven modeling of dynamical systems
MA Bucci, O Semeraro, A Allauzen, S Chibbaro, L Mathelin
The European Physical Journal E 46 (3), 12, 2023
强制性开放获取政策： Agence Nationale de la Recherche
Nonlinear optimal control using deep reinforcement learning
MA Bucci, O Semeraro, A Allauzen, L Cordier, L Mathelin
IUTAM Laminar-Turbulent Transition: 9th IUTAM Symposium, London, UK …, 2022
强制性开放获取政策： Agence Nationale de la Recherche
Receptivity to synthetic jet actuation in boundary layer flows
A Palumbo, O Semeraro, JC Robinet, L De Luca
AIAA SciTech 2020 FORUM, 2020
强制性开放获取政策： Government of Italy
Reinforcement Learning for Fluid Mechanics: an overview on Fundamentals from a Control Perspective
O Semeraro
强制性开放获取政策： Agence Nationale de la Recherche
Optimistic actor-critic reinforcement learning for control of spatially evolving flows
A SAIBI, L MATHELIN, O SEMERARO
强制性开放获取政策： Agence Nationale de la Recherche
Time and State Dependent Neural Delay Differential Equations
T Monsel, O Semeraro, L Mathelin, G Charpiat
ML-DE@ ECAI 2024: Machine Learning Meets Differential Equations: From Theory …, 2024
强制性开放获取政策： Agence Nationale de la Recherche
Increasing information for model predictive control with semi-Markov decision processes
RH Boucher, S Douka, O Semeraro, L Mathelin
6th Annual Learning for Dynamics & Control Conference, 1400-1414, 2024
强制性开放获取政策： Agence Nationale de la Recherche
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
RH Boucher, O Semeraro, L Mathelin
International Conference on Optimization and Learning (OLA 2024), 2024
强制性开放获取政策： Agence Nationale de la Recherche
Reinforcement Learning for Control of Spatially Developing Distributed Systems
A Saibi, O Semeraro, L Mathelin
SIAM Computational Science and Engineering, 2023
强制性开放获取政策： Agence Nationale de la Recherche
End-to-end learning of dynamical systems with the Mori-Zwanzig formalism
T Monsel, L Mathelin, O Semeraro, G Charpiat
CSE 2023-SIAM Computational Science and Engineering, 2023
强制性开放获取政策： Agence Nationale de la Recherche
A priori reconstruction of Thermal-Large Eddy Simulation (T-LES) by Deep Learning Reconstruction a priori de champs de Simulations des Grandes Echelles Thermiques par …
Y Zatout, A Toutant, O Semeraro, L Mathelin, F Bataille
强制性开放获取政策： Agence Nationale de la Recherche
Enhancing Data-Assimilation in CFD using Graph Neural Networks
M Quattromini, MA Bucci, S Cherubini, O Semeraro
arXiv preprint https://arxiv.org/abs/2311.18027, 2023
强制性开放获取政策： Agence Nationale de la Recherche, Government of Italy
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