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A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning.

Jialin LuJing YangShaobo LiYijun LiWu JiangJiangtian DaiJianjun Hu
Published in: IEEE Internet Things J. (2024)
Keyphrases
  • dynamic scheduling
  • reinforcement learning
  • direct policy search
  • flexible manufacturing systems
  • cloud computing
  • process planning
  • markov decision processes
  • machine learning
  • multi agent
  • grid services
  • knowledge base