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AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem.

Hao GaoXing ZhouXin XuYixing LanYongqian Xiao
Published in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
  • min max
  • multiagent reinforcement learning
  • max min
  • joint action
  • machine learning
  • cooperative
  • dynamic environments
  • multiagent systems
  • limited capacity