Long-Term Matching Optimization With Federated Neural Temporal Difference Learning in Mobility-on-Demand Systems
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DOI: 10.1109/jiot.2022.3206491
Abstract: Efficient bipartite graph matching of orders and drivers is a central operational problem in industrial mobility-on-demand (MOD) systems. Traditional studies adopt pure combinatorial optimization models for order-and-driver matching, which do not consider the long-term rewards… read more here.
Keywords: problem; long term; term matching; bipartite ... See more keywords