An ensemble of hypernetworks generates driver-specific linear utility weights for ride acceptance, improving calibration while preserving interpretability.
A pricing mechanism for ride-hailing systems in the presence of driver acceptance uncertainty,
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Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
An ensemble of hypernetworks generates driver-specific linear utility weights for ride acceptance, improving calibration while preserving interpretability.