Wastewater treatment process optimization in stochastic game based on multiagent deep reinforcement learning.
- DOI
- 10.1016/j.watres.2026.126252
- Published
- 2026 Sep 15
- Container
- Water research
- Publisher
- Not recorded
- Open access
- no
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Cite this work
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
Source records
- pubmed · retrieved 2026-09-25T14:24:39.868Z
- europe-pmc · retrieved 2026-09-25T14:24:39.880Z