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Dynamic selective maintenance optimization for multi-state systems over a finite horizon: A deep reinforcement learning approach.
Yu Liu
Yiming Chen
Tao Jiang
Published in:
Eur. J. Oper. Res. (2020)
Keyphrases
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finite horizon
reinforcement learning
optimal policy
markov decision processes
markov decision process
state space
infinite horizon
partially observable
control policies
optimal stopping
data mining
dynamic programming
non stationary
initial state
state dependent
single product