Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 19th EAI Internation Honghao Gao,Xinheng Wang,Nikolaos Voros Conference

Acupressure

Defeating the?Non-stationary Opponent Using Deep Reinforcement Learning and?Opponent Modelingtead of explicitly identifying the opponent’s intention, the defense agent observes the opponent’s last move actions from the game environment, stores the information in its knowledge, then perceives the opponent’s strategy and finally makes a decision to maximize its benefits. We show the excellent

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打折

MD-TransUNet: TransUNet with?Multi-attention and?Dilated Convolution for?Brain Stroke Lesion Segmentes to suppress useless information expression in skip connections and upsampling processes while focusing more on effective spatial and channel information in features. The experiments show that our proposed network gets superior performance than benchmark methods and indicates the generalization an

枯萎將要

絕緣

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關(guān)心