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cs.LG2025
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
Jianglin Ding, Jingcheng Tang, Gangshan Jing
Action-dependent individual policies, which incorporate both environmental states and the actions of other agents in decision-making, have emerged as a promising paradigm for achie…
cs.LG2023★ 1 cited
Hard Label Black Box Node Injection Attack on Graph Neural Networks
Yu Zhou, Zihao Dong, Guofeng Zhang +1
While graph neural networks have achieved state-of-the-art performances in many real-world tasks including graph classification and node classification, recent works have demonstra…