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cs.AI2024
DCMAC: Demand-aware Customized Multi-Agent Communication via Upper Bound Training
Dongkun Huo, Huateng Zhang, Yixue Hao +4
Efficient communication can enhance the overall performance of collaborative multi-agent reinforcement learning. A common approach is to share observations through full communicati…
cs.LG2024
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
Kai Shao, Rui Wang, Yixue Hao +3
Depression recognition based on physiological signals such as functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress. However,…