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Advanced deep-reinforcement-learning methods for flow control:
  group-invariant and positional-encoding networks improve learning speed and
  quality

Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality

25 July 2024
Joogoo Jeon
Jean Rabault
Joel Vasanth
Francisco Alcántara-Ávila
Shilaj Baral
Ricardo Vinuesa
    AI4CE
ArXivPDFHTML

Papers citing "Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality"

4 / 4 papers shown
Title
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
Thorben Markmann
Michiel Straat
Sebastian Peitz
Barbara Hammer
AI4CE
38
0
0
16 Apr 2025
Latent feedback control of distributed systems in multiple scenarios
  through deep learning-based reduced order models
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models
Matteo Tomasetto
Francesco Braghin
Andrea Manzoni
OffRL
AI4CE
91
0
0
13 Dec 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
Nicholas Zolman
Urban Fasel
J. Nathan Kutz
Steven L. Brunton
AI4CE
30
11
0
14 Mar 2024
Towards Applicable Reinforcement Learning: Improving the Generalization
  and Sample Efficiency with Policy Ensemble
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang
Kan Ren
Xufang Luo
Minghuan Liu
Weiqing Liu
Jiang Bian
Weinan Zhang
Dongsheng Li
27
19
0
19 May 2022
1