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Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach.

Yuan ZhangUmashankar DeekshithJianhong WangJoschka Boedecker
Published in: ICAPS (2024)
Keyphrases
  • multi agent reinforcement learning
  • learning agents
  • complex environments
  • multi agent systems
  • multi agent learning
  • computational complexity
  • worst case
  • reinforcement learning
  • cooperative
  • knowledge based systems