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cs.AI2025
StarCraft+: Benchmarking Multi-agent Algorithms in Adversary Paradigm
Yadong Li, Tong Zhang, Bo Huang +1
Deep multi-agent reinforcement learning (MARL) algorithms are booming in the field of collaborative intelligence, and StarCraft multi-agent challenge (SMAC) is widely-used as the b…
cs.LG2025
GraphTorque: Torque-Driven Rewiring Graph Neural Network
Sujia Huang, Lele Fu, Zhen Cui +3
Graph Neural Networks (GNNs) have emerged as powerful tools for learning from graph-structured data, leveraging message passing to diffuse information and update node representatio…
cs.CV2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Fuyun Wang, Tong Zhang, Yuanzhi Wang +4
In Open-set Supervised Anomaly Detection (OSAD), the existing methods typically generate pseudo anomalies to compensate for the scarcity of observed anomaly samples, while overlook…