Pollution-based integrated real-time control for urban drainage systems: a multi-agent deep reinforcement learning approach

Pollution-based integrated real-time control for urban drainage systems: a multi-agent deep reinforcement learning approach

Abstract This study presents a multi-agent reinforcement learning (MARL) framework for integrated real-time control (RTC) of urban drainage systems (UDSs), coordinating sewers, wastewater treatment plants (WWTPs), and receiving waters. Trained within a hydraulic–water quality simulation environment...

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Bibliographic Details
Main Authors: Zhenyu Huang, Yiming Wang, Xin Dong, Wei Li, Yangbo Tang, Dazhen Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Clean Water
Online Access:https://doi.org/10.1038/s41545-025-00512-z
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https://doi.org/10.1038/s41545-025-00512-z

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