Task allocation of multiple unmanned aerial vehicles based on deep transfer reinforcement learning

HIGHLIGHTS

• who: Yongfeng Yin et al. from the School of Software, BeiHang University, Beijing, China have published the research work: Task Allocation of Multiple Unmanned Aerial Vehicles Based on Deep Transfer Reinforcement Learning, in the Journal: Drones 2022, 6, 215. of /2022/
• what: In this paper, a deep transfer reinforcement learning algorithm based on QMIX is proposed to solve the multi-UAV task assignment problem involving materials scheduling. The research background of this paper is that natural disasters occur frequently in my country, and the rescue of a large number of trapped people after the disaster . . .
  

   

  

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