Multi-agent deep reinforcement learning for cooperative computing offloading and route optimization in multi cloud-edge networks

HIGHLIGHTS

• who: Cooperative Computing Offloading and collaborators from the (UNIVERSITY) have published the paper: Multi-Agent Deep Reinforcement Learning for Cooperative Computing Offloading and Route Optimization in Multi Cloud-Edge Networks, in the Journal: (JOURNAL)
• what: The authors develop a method for combining RL and mathematical optimization. The authors propose a task-offloading method that is based on Coop-MADRL. The authors describe an overview of the task-offloading problem. The authors aim to optimize the offloaded server and the route between ED and server for the accepted task.
• how: The authors conducted five . . .
  

   

  

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