Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem (2022)
International Symposium on Applied Machine Intelligence and Informatics Authors Anikó Kopacz, Ágnes Mester, S'andor Kolumb'an, Lehel Csató Abstract We propose a train rescheduling algorithm which applies a standardized feature selection based on pairwise conflicts in order to serve as input for the reinforcement learning framework. We implement an analytical method which identifies and optimally…