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07/11/2023
Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer
How to obtain informative representations of transactions and then perfo...
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07/11/2023
Transaction Fraud Detection via an Adaptive Graph Neural Network
Many machine learning methods have been proposed to achieve accurate tra...
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07/03/2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Deep reinforcement learning (DRL) performance is generally impacted by s...
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06/27/2023
Model Checking ofWorkflow Nets with Tables and Constraints
Many operations in workflow systems are dependent on database tables. Th...
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06/09/2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Multi-Agent Reinforcement Learning (MARL) has been widely applied in man...
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05/17/2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Multi-agent reinforcement learning (MARL) is a widely used Artificial In...
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04/25/2023
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
Traditional multi-agent reinforcement learning algorithms are difficultl...
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12/06/2022
Automatically Transform Rust Source to Petri Nets for Checking Deadlocks
This paper presents a method of automatically converting source codes (R...
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05/15/2022
RoMFAC: A Robust Mean-Field Actor-Critic Reinforcement Learning against Adversarial Perturbations on States
Deep reinforcement learning methods for multi-agent systems make optimal...
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12/18/2020