AI for Logistics – Robots in a Warehouse
It's time for the next step on our AI journey. I told you at the beginning of this book that AI has tremendous value to bring to transport and logistics, with self-driving delivery vehicles that speed up logistical processes. They're a huge boost to the economy through the e-commerce industry.
In this new chapter, we'll build an AI for just that kind of application. The model we'll use for this will, of course, be Q-learning (we're saving deep Q-learning for the self-driving car). Q-learning is a simple, but powerful, AI model that can optimize the flows of movement in a warehouse, which is the real-world problem you'll solve here. In order to facilitate this journey, you'll work on an environment you're already familiar with: the maze we saw in the previous chapter.
The difference is that, this time, the maze will actually be the warehouse of a business. It could be any business...