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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | npj Clean Water |
| Online Access: | https://doi.org/10.1038/s41545-025-00512-z |
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