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[HTML][HTML] Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes

P Varela, P Suárez, F Alcántara-Ávila, A Miró… - Actuators, 2022 - mdpi.com

The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …

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[PDF][PDF] Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

P Varela-Martínez, P Suárez Morales, F Alcántara-Ávila… - Actuators, 2022 - riunet.upv.es

[EN] The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

P Varela, P Suarez, F Alcantara-Avila, A Miro… - ACTUATORS, 2022 - diva-portal.org

The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes

P Varela Martínez, P Suárez Morales… - …, 2022 - upcommons.upc.edu

The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes

P Varela, P Suárez, F Alcántara-Ávila, A Miró… - arXiv e …, 2022 - ui.adsabs.harvard.edu

Deep artificial neural networks (ANNs) used together with deep reinforcement learning
(DRL) are receiving growing attention due to their capabilities to control complex problems …

[引用][C] Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

PV Martínez, PS Morales, FA Ávila, A Miró, J Rabault… - …, 2022 - research.tudelft.nl

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing
Reynolds Number Regimes — TU Delft Research Portal Skip to main navigation Skip to …

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes

P Varela, P Suárez, F Alcántara-Ávila, A Miró… - arXiv preprint arXiv …, 2022 - arxiv.org

Deep artificial neural networks (ANNs) used together with deep reinforcement learning
(DRL) are receiving growing attention due to their capabilities to control complex problems …

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

P Varela, P Suárez, F Alcántara-Ávila, A Miró… - …, 2022 - search.proquest.com

The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes.

P Varela, P Suárez, F Alcántara-Ávila, A Miró… - …, 2022 - search.ebscohost.com

The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …

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[HTML][HTML] Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes

[PDF][PDF] Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes

[引用][C] Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes

Deep Reinforcement Learning for Flow Control Exploits Different Physics for Increasing Reynolds Number Regimes.

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