15 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest
Shucen Ma, Jianqi Shi, Yanhong Huang +2
The broad adoption of Machine Learning (ML) in security-critical fields demands the explainability of the approach. However, the research on understanding ML models, such as Random…
physics.flu-dyn2021★ 15 cited
An application of data driven reward of deep reinforcement learning by dynamic mode decomposition in active flow control
Sheng Qin, Shuyue Wang, Jean Rabault +1
This paper focuses on the active flow control (AFC) of the flow over a circular cylinder with synthetic jets through deep reinforcement learning (DRL) by implementing a reward func…