Using Reinforcement Learning to build an Emergency Response Scenario

Pairing Q-Learning with other ML concepts like Reinforcement Learning (RL) and Case-based Reasoning (CBR) has shown a significant increase in the accuracy of a model. With the rise in popularity of Internet of Things (IoT), there are plenty of third-party sensor attachments, hardware and software management tools to leverage. The hope is to analyze the data after each incident and learn more than simply the shortest path. Continue reading here.

Image Credit: Lucas Amunategui.