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Self-attention reinforcement learning for multi-beam combining in mmW ave 3D-MIMO systems: 《Science China(Information Sciences)》2023年第6期200-217,共18页Yingzhi HUANG Zhaoyang ZHANG Jingze CHE Zhaohui YANG Qianqian YANG Kai-Kit WONG; supported in part by National Key R&D Program of China (Grant Nos.2020YFB1807101,2018YFB1801104);National Natural Science Foundation of China (Grant Nos.61725104,U20A20158,61922071)。; Machine learning(ML)has been empowering all aspects of the wireless communication system design,among which,the reinforcement learning(RL)-based approaches have attracted a lot of research attention since they can int...; 关键词：reinforcement learning(RL) deep deterministic policy gradient(DDPG) self-attention precoding/combining millimeter-wave(mmWave) multi-input multi-output(MIMO)

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