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Updated: Jan 15, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
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多代理增强学习用于控制三维雷利-贝纳德对流的控制

Joel Vasanth1, Jean Rabault2, Francisco Alcántara-Ávila1

  • 1FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden.

Flow, turbulence and combustion
|October 13, 2025
PubMed
概括

多剂强化学习 (MARL) 有效地控制了流体动力学,将雷利-贝纳德对流的对流强度降低了高达23.5%. 这种先进的深度强化学习方法优于传统方法,并证明了政策的可转移性.

关键词:
活动流量控制器 活动流量控制器机器学习 机器学习多个代理强化学习学习多个代理强化学习学习雷利贝纳德对流的对流作用强化学习是一种强化学习.

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