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NOMAD-RPS is a dynamic ride-pooling simulator that uses a non-myopic cost function approximation policy to make sequential decisions and find the best matches between riders and vehicles in the system
This simulator uses a proposed non-myopic cost function approximation policy to allow passengers to have synchronized transfers within a ride-pooling system.
Implementation of various intelligent agents (reactive, deliberative, centralized, auction) to solve the Pickup and Delivery Problem (PDP) using Logist Platform.