Locating Drivers in a Trucking Terminal Network

and Temporal Difference (TD) update. Online Dispatch. The dispatcher uses the candidate gener- ation method in [2] to compute actions for all vehicles. It ...







A Value-based Dynamic Learning Approach for Vehicle Dispatch in ...
Specifically, drivers and or- ders are modeled as nodes on the two sides of bipartite graph and an edge between two nodes represents a po- tential assignment.
Effective Taxi Order Dispatching at Large-Scale
An order-dispatching policy ? is a function that maps an order to a available driver. It is understood that if multiple orders have the same dispatch assignment ...
Ride-hailing Order Dispatching at DiDi via Reinforcement Learning
In this paper, we study a variant of the dynamic routing problem, taxi dispatch, where we propose a novel two-stage approach: distributed ...



Autres Cours:

Pattern Transfer Learning for Reinforcement Learning in Order ...