A Soft Actor-Critic agent trained with random delays outperformed replayed historical PID actions in an LSTM wastewater simulator on phosphorus removal, reward, and target deviation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration
A Soft Actor-Critic agent trained with random delays outperformed replayed historical PID actions in an LSTM wastewater simulator on phosphorus removal, reward, and target deviation.