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HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
Authors:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Favorite  |  View/Download:14/0  |  Submit date:2022/09/19
Reinforcement learning  Pricing  Heuristic algorithms  Supply and demand  Surges  Vehicle dynamics  Vehicles  Deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
An IoT Edge Computing System Architecture and its Application 会议论文
, Nanjing, China, Oct. 30 – Nov.2, 2020.
Authors:  Shichao Chen;  Qijie Li;  Hua Zhang;  fenghua.zhu@ia.ac.cn;  Gang Xiong;  Ying Tang
Adobe PDF(4370Kb)  |  Favorite  |  View/Download:29/5  |  Submit date:2022/04/08
IoT  Edge computing  Energy monitoring and optimization Introduction