Web: http://arxiv.org/abs/2201.10269

Jan. 26, 2022, 2:11 a.m. | Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns

cs.LG updates on arXiv.org arxiv.org

We study the problem of learning the preferences of drivers and planners in
the context of last mile delivery. Given a data set containing historical
decisions and delivery locations, the goal is to capture the implicit
preferences of the decision-makers. We consider two ways to use the historical
data: one is through a probability estimation method that learns transition
probabilities between stops (or zones). This is a fast and accurate method,
recently studied in a VRP setting. Furthermore, we explore …

ai arxiv delivery learning prediction probability

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