Multiagent reinforcement learning for task offloading of space/ aerial-assisted edge computing

HIGHLIGHTS

• who: Aerial-Assisted Edge Computing et al. from the College of Information and Communication, Guilin University of Electronic Technology, Guilin, Guangxi, China have published the research work: Multiagent Reinforcement Learning for Task Offloading of Space/ Aerial-Assisted Edge Computing, in the Journal: Security and Communication Networks of 17/Dec/2021
• what: The authors investigate a network architecture considering whether to take advantage of server mounted on the unmanned vehicle and satellite for task oufb04oading or not. By formulating the problem as a Markov decision process (MDP) the authors propose a multiagent deep reinforcement learning (MADRL . . .
  

   

  

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