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A numerical study of Markov decision process algorithms for multi-component replacement problems.

Jesper Fink AndersenAnders Reenberg AndersenMurat KulahciBo Friis Nielsen
Published in: Eur. J. Oper. Res. (2022)
Keyphrases
  • markov decision process
  • multi component
  • learning algorithm
  • reinforcement learning
  • state space
  • higher order
  • approximate solutions
  • policy iteration
  • incomplete data