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A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems.

Maria Amélia Lopes SilvaSérgio Ricardo de SouzaMarcone Jamilson Freitas SouzaAna Lúcia C. Bazzan
Published in: Expert Syst. Appl. (2019)
Keyphrases
  • reinforcement learning
  • multi agent
  • scheduling problem
  • probabilistic model
  • multiagent systems
  • learning algorithm
  • cooperative
  • learning process
  • simulated annealing
  • learning agents
  • multi agent planning