The study introduces MAIDCRL (Multi-Agent Dense-CNN Reinforcement Learning), a reinforcement learning algorithm that incorporates convolutional layers into the deep model architecture for better multi-agent control in StarCraft Multi-Agent Challenge scenarios….
Continue readingThis article discusses the concept of Autonomous Supply Chains (ASCs), which are being considered as a more resilient alternative to traditional supply chains. The authors present a formal definition of…
Continue readingGlobal disruptions have exposed vulnerabilities in traditional supply chains, leading to a push for more resilient alternatives. Autonomous Supply Chains (ASCs) could be a solution, providing increased visibility, flexibility, and…
Continue readingThis article explores the formation control of multi-agent systems, with a focus on the distributed leader-follower stress-matrix-based affine formation control problem. In such systems, the aim is to direct a…
Continue readingThe paper presents XUAT-Copilot, a multi-agent collaborative system developed to automate the User Acceptance Testing (UAT) process of WeChat Pay, a leading mobile payment app in China. The system aims…
Continue readingThe research paper discusses the use of Signal Temporal Logic (STL) in creating temporally robust motion plans for multi-agent systems. STL allows the specification of complex spatial and temporal system…
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