Multi-agent Reinforcement Learning for the Control of Three-Dimensional Rayleigh–Bénard Convection

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Publication Details

Journal
Flow Turbulence and Combustion
Published
2024-12-13
DOI
https://doi.org/10.1007/s10494-024-00619-2
Citations
10
Primary Topic
Fluid Dynamics and Turbulent Flows
Type
article
Field-Weighted Citation Impact
3.75

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article

Multi-agent Reinforcement Learning for the Control of Three-Dimensional Rayleigh–Bénard Convection

Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa, Jean Rabault et al.
10 citations
Flow Turbulence and Combustion
Fluid Dynamics and Turbulent Flows
3.75
article

Multi-agent Reinforcement Learning for the Control of Three-Dimensional Rayleigh–Bénard Convection

Francisco Alcántara-Ávila, Mikael Mortensen, Ricardo Vinuesa, Jean Rabault, Joel Vasanth
article en
10 citations

Abstract

No abstract available for this paper.
Flow Turbulence and CombustionVol. 115(3)
University of Oslo (NO), KTH Royal Institute of Technology (SE)
European Commission, Kungliga Tekniska Högskolan, European Research Council
Openalex Percentile: Top 6%
Fluid Dynamics and Turbulent Flows
3.75
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