Systems, Methods, and Computer Programs for Efficiently Determining an Order of Driving Destinations and for Training a Machine-Learning Model using Distance-Based Input Data

A system for training a machine-learning model, the system comprising one or more processors and one or more storage devices, wherein the system is configured to:

• obtain training input data for training the machine-learning model, the training input data comprising training information on a distance between a plurality of driving destinations, the distance being defined for a plurality of routes between the plurality of driving destinations, with the routes being defined separately in both directions between each combination of driving destinations of the plurality of driving destinations within the information on the distance;
• train the machine-learning model using a reinforcement learning algorithm and a reward function, the machine-learning model being trained to output information on an order of the plurality of routes based on the training information on the distance provided at the input of the machine-learning model, the reward function being based on the distance between the plurality of driving destinations;
• and
• provide the machine-learning model.

A machine-readable storage medium including program code, when executed, to cause a machine to perform method for determining an order of a plurality of driving destinations, the method comprising:

• obtaining information on a distance between the plurality of driving destinations, the distance being defined for a plurality of routes between the plurality of driving destinations, with the routes being defined separately in both directions between each combination of driving destinations of the plurality of driving destinations within the information on the distance;
• providing the information on the distance between the plurality of driving destinations as input to a machine-learning model, the machine-learning model being trained to output information on an order of the plurality of routes based on the information on the distance provided at the input of the machine-learning model;
• and
• determining the information on the order of the plurality of driving destinations based on the information on the order of the plurality of routes.