Wastewater treatment process optimization in stochastic game based on multiagent deep reinforcement learning.

Wang G, Wang X, Luo F, Man Y, He Z, Liang S, Yang Z

Open source

DOI
10.1016/j.watres.2026.126252
Published
2026 Sep 15
Container
Water research
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.watres.2026.126252,
  title = {Wastewater treatment process optimization in stochastic game based on multiagent deep reinforcement learning.},
  author = {Wang G and Wang X and Luo F and Man Y and He Z and Liang S and Yang Z},
  year = {2026},
  journal = {Water research},
  doi = {10.1016/j.watres.2026.126252},
  url = {https://doi.org/10.1016/j.watres.2026.126252}
}

RIS

TY  - JOUR
TI  - Wastewater treatment process optimization in stochastic game based on multiagent deep reinforcement learning.
AU  - Wang G
AU  - Wang X
AU  - Luo F
AU  - Man Y
AU  - He Z
AU  - Liang S
AU  - Yang Z
PY  - 2026
JO  - Water research
DO  - 10.1016/j.watres.2026.126252
UR  - https://doi.org/10.1016/j.watres.2026.126252
ER  - 

APA

G, W., X, W., F, L., Y, M., Z, H., S, L., & Z, Y. (2026). Wastewater treatment process optimization in stochastic game based on multiagent deep reinforcement learning.. Water research. https://doi.org/10.1016/j.watres.2026.126252

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