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M2MTR: Reposition Idle Taxis in the Many-to-Many Manner with Multi-agent Reinforcement Learning.

Hao YuXi GuoJie ChenXiao Luo
Published in: ADMA (5) (2023)
Keyphrases
  • multi agent reinforcement learning
  • multi agent
  • multi agent learning
  • cooperative
  • multi agent systems
  • stochastic games
  • reinforcement learning
  • learning agents
  • e learning
  • expert systems
  • distributed control