Effective control of two-dimensional Rayleigh–Bénard convection: Invariant multi-agent reinforcement learning is all you need

Rayleigh–Bénard convection (RBC) is a recurrent phenomenon in a number of industrial and geoscience flows and a well-studied system from a fundamental fluid-mechanics viewpoint. In the present work, we conduct numerical simulations to apply deep reinforcement learning (DRL) for controlling two-dimen...

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Veröffentlicht in:	Physics of fluids (1994) 2023-06, Vol.35 (6)
Hauptverfasser:	Vignon, Colin, Rabault, Jean, Vasanth, Joel, Alcántara-Ávila, Francisco, Mortensen, Mikael, Vinuesa, Ricardo
Format:	Artikel
Sprache:	eng
Schlagworte:	Configurations Convection cells Convective heat transfer Deep learning Feedback control Fluid dynamics Invariants Multiagent systems Physics Rayleigh-Benard convection Reagents Topology
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