23 citations · 47 across the 5 of their papers we have counts for
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cs.LG2023★ 5 cited
Transaction Fraud Detection via an Adaptive Graph Neural Network
Yue Tian, Guanjun Liu, Jiacun Wang +1
Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks. However, mo…
cs.LG2023★ 19 cited
Enhancing the Robustness of QMIX against State-adversarial Attacks
Weiran Guo, Guanjun Liu, Ziyuan Zhou +2
Deep reinforcement learning (DRL) performance is generally impacted by state-adversarial attacks, a perturbation applied to an agent's observation. Most recent research has concent…
cs.AI2023★ 23 cited
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Min Yang, Guanjun Liu, Ziyuan Zhou
Traditional multi-agent reinforcement learning algorithms are difficultly applied in a large-scale multi-agent environment. The introduction of mean field theory has enhanced the s…