Using the Bing Maps Distance Matrix API for solving the Travelling Salesman Problem: the origin of routing problems

In this blog post we will summarize all the possibilities offered by Bing Maps to solve routing problems, including utilities, pricing, constraints and others.  The most basic example of routing is the travelling salesman problem and, although we will not go into details about the algorithm, we will explain how the distance matrix API can…

Introduction to Reinforcement Learning

Reinforcement learning is an area of machine learning concerned about an agent that interacts with the environment and learns an optimal policy by trail and error for sequential decision making problems in a wide range of fields in engineering and both natural and social sciences. Usually we categorize machine learning as supervised, unsupervised, and reinforcement learning.…