Optimal control towards sustainable wastewater treatment plants based on multi-agent reinforcement learning.

This study used a novel technique, multi-agent deep reinforcement learning (MADRL), to simultaneously optimize dissolved oxygen (DO) and chemical dosage in a WWTP, and shows that optimization based on LCA has lower environmental impacts compared to baseline scenario.