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Updated: May 25, 2025

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优势的维度:深度强化学习在城市排水系统实时控制中表现出色

Zhenyu Huang1, Yiming Wang1, Xin Dong1,2

  • 1School of Environment, Tsinghua University, Beijing 10084, PR China.

Water research X
|February 26, 2025
PubMed
概括

与传统方法相比,深度强化学习 (DRL) 显著减少了城市洪水和下水道溢出. 这种先进的方法提高了排水系统的效率,稳定性和适应性,以实现弹性基础设施.

关键词:
深度强化学习的学习.评估框架 评估框架多个代理的多个代理.实时控制 实时控制城市排水系统城市排水系统

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