Implementation

Alright, let's smash this. But first, try to smash this yourself without me. Of course, this is a journey we'll take together, but I really don't mind if you take some steps ahead of me. The faster you become independent in AI, the sooner you'll do wonders with it. Try to implement the Q-learning process mentioned previously, exactly as it is. It's okay if you don't implement everything; what matters is that you try.

That's enough coaching; no matter how successful you were, let's go through the solution.

First, start by importing the libraries that you'll use in this implementation. There's only one needed this time: the numpy library, which offers a practical way of working with arrays and mathematical operations. Give it the shortcut np.

# AI for Logistics - Robots in a warehouse
# Importing the libraries
import numpy as np

Then, set the parameters of your model. These include the discount...