Food Distribution During Flood Using Q-Learning Algorithm

Abstract

During Emergencies, when we want to distribute food to different localities it is not always possible to use airways. In such cases when we have no other option other than roadways, we can implement Q-Learning to reach the localities. In this algorithm, the localities act as nodes or vertices and the routes acts as edges. A satellite image is fed to the system of the flood affected area. Starting from the first node, it decides the action to be performed in each stage as it proceeds. Solving, a valid solution would need to represent a route where every location is included at least once and only once. If a route contains a single location more than once, or missed out a location completely then it wouldn't be valid.