Enhancing the robustness of deep reinforcement learning-based real-time control for urban drainage systems through error correction.
- DOI
- 10.1016/j.watres.2026.126690
- Published
- 2026 Aug 12
- Container
- Water research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.watres.2026.126690,
title = {Enhancing the robustness of deep reinforcement learning-based real-time control for urban drainage systems through error correction.},
author = {Qi X and Khu ST and Yu P and Xin H and Wang M},
year = {2026},
journal = {Water research},
doi = {10.1016/j.watres.2026.126690},
url = {https://doi.org/10.1016/j.watres.2026.126690}
}RIS
TY - JOUR TI - Enhancing the robustness of deep reinforcement learning-based real-time control for urban drainage systems through error correction. AU - Qi X AU - Khu ST AU - Yu P AU - Xin H AU - Wang M PY - 2026 JO - Water research DO - 10.1016/j.watres.2026.126690 UR - https://doi.org/10.1016/j.watres.2026.126690 ER -
APA
X, Q., ST, K., P, Y., H, X., & M, W. (2026). Enhancing the robustness of deep reinforcement learning-based real-time control for urban drainage systems through error correction.. Water research. https://doi.org/10.1016/j.watres.2026.126690
Source records
- pubmed · retrieved 2026-09-25T23:50:52.895Z