An approximate dynamic programming policy using corrected backward value functions and integer programming outperforms real-world benchmark rules for assigning extraboard transit operators in a stochastic MDP setting.
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Approximate Dynamic Programming for Real-time Assignment of Extraboard Transit Operators
An approximate dynamic programming policy using corrected backward value functions and integer programming outperforms real-world benchmark rules for assigning extraboard transit operators in a stochastic MDP setting.