Reinforcement Learning for Flow Control

Presentations

• Discovering novel control strategies for turbulent flows through deep reinforcement learning

  ORAL

  Nov. 19, 2023, 8:00 AM – Nov. 19, 2023, 8:13 AM

  Publication: L. Guastoni, J. Rabault, P. Schlatter, H. Azizpour and R. Vinuesa. Deep reinforcement learning for turbulent drag reduction in channel flows. Eur. Phys. J. E, 46, 27, 2023

  Presenters

  • Ricardo Vinuesa

    KTH (Royal Institute of Technology), KTH Royal Institute of Technology

  Authors

  • Ricardo Vinuesa

    KTH (Royal Institute of Technology), KTH Royal Institute of Technology

  • Luca Guastoni

    KTH Royal Institute of Technology

  • Jean Rabault

    Univ of Oslo

  • Hossein Azizpour

    KTH Royal Institute of Technology

  View abstract →

• Swimming in Turbulent Environments with Physics Informed Reinforcement Learning

  ORAL

  Nov. 19, 2023, 8:13 AM – Nov. 19, 2023, 8:26 AM

  Publication: N/A

  Presenters

  • Christopher F Koh

    University of Arizona

  Authors

  • Christopher F Koh

    University of Arizona

  • Michael Chertkov

    University of Arizona

  • Laurent Pagnier

    University of Arizona

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• HydroGym: A Reinforcement Learning Control Framework for Fluid Dynamics

  ORAL

  Nov. 19, 2023, 8:26 AM – Nov. 19, 2023, 8:39 AM

  Presenters

  • Ludger Paehler

    Technical University of Munich

  Authors

  • Ludger Paehler

    Technical University of Munich

  • Jared Callaham

    University of Washington

  • Samuel Ahnert

    University of Washington

  • Nikolaus Adams

    Tech Univ Muenchen, Technical University of Munich

  • Steven L Brunton

    University of Washington, Department of Mechanical Engineering, University of Washington

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• Path planning of swimmers in complex flows: Comparing reinforcement learning vs optimizing a discrete loss (ODIL)

  ORAL

  Nov. 19, 2023, 8:39 AM – Nov. 19, 2023, 8:52 AM

  Presenters

  • Lucas Amoudruz

    Harvard University

  Authors

  • Lucas Amoudruz

    Harvard University

  • Petr Karnakov

    Harvard University

  • Petros Koumoutsakos

    Harvard University

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• SINDy-RL: Interpretable and Efficient Reinforcement Learning for Fluid Flow Control

  ORAL

  Nov. 19, 2023, 8:52 AM – Nov. 19, 2023, 9:05 AM

  Presenters

  • Nicholas Zolman

    University of Washington

  Authors

  • Nicholas Zolman

    University of Washington

  • Urban Fasel

    Imperial College London

  • Nathan Kutz

    University of Washington, University of Washington, AI Institute for Dynamic Systems

  • Steven L Brunton

    University of Washington, Department of Mechanical Engineering, University of Washington

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• Distributed Actuation of Turbulent Flow Around a Cylinder using Deep Reinforcement Learning

  ORAL

  Nov. 19, 2023, 9:05 AM – Nov. 19, 2023, 9:18 AM

  Presenters

  • Pedro Ivo Almeida

    Florida Atlantic University

  Authors

  • Pedro Ivo Almeida

    Florida Atlantic University

  • Ian Jacobi

    Technion - Israel Institute of Technology

  • Beni Cukurel

    Technion - Israel Institute of Technology

  • Siddhartha Verma

    Florida Atlantic University

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• Reinforcement learning for real-time flow control of vertical axis wind turbines

  ORAL

  Nov. 19, 2023, 9:18 AM – Nov. 19, 2023, 9:31 AM

  Presenters

  • Baptiste Corban

    ISAE-Supaero

  Authors

  • Baptiste Corban

    ISAE-Supaero

  • Daniel Fernex

    École polytechnique fédérale de Lausanne (EPFL), EPFL

  • Karen Mulleners

    EPFL, École polytechnique fédérale de Lausanne (EPFL)

  • Emmanuel Rachelson

    ISAE-Supaero

  • Michaël Bauerheim

    ISAE-Supaero

  • Thierry Jardin

    ISAE-Supaero

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• Deep reinforcement learning for active separation control in a turbulent boundary layer

  ORAL

  Nov. 19, 2023, 9:31 AM – Nov. 19, 2023, 9:44 AM

  Presenters

  • Francisco Alcántara-Ávila

    KTH Royal Institute of Technology

  Authors

  • Francisco Alcántara-Ávila

    KTH Royal Institute of Technology

  • Bernat Font

    Barcelona Supercomputing Center, Barcelona Super Computing Center - Centro Nacional de Supercomputación (BSC-CNS), Spain

  • Jean Rabault

    Norwegian Meteorological Institute, Norway

  • Ricardo Vinuesa

    KTH (Royal Institute of Technology), KTH Royal Institute of Technology

  • Oriol Lehmkuhl

    Barcelona supercomputing center, Barcelona Super Computing Center - Centro Nacional de Supercomputación (BSC-CNS), Spain

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• Control of reacting flows with hybrid differentiable/deep learning flow solver

  ORAL

  Nov. 19, 2023, 9:44 AM – Nov. 19, 2023, 9:57 AM

  Presenters

  • Nguyen Anh Khoa Doan

    Delft University of Technology

  Authors

  • Nilam Tathawadekar

    Technical University of Munich

  • Camilo Silva

    Technical University of Munich

  • Nils Thuerey

    Technical University of Munich

  • Nguyen Anh Khoa Doan

    Delft University of Technology

  View abstract →