-: Hi everyone, and welcome to this bonus lecture.
We wanted to provide you some additional practical material
to help really continue more hands-on experience in AI.
And for this, we're gonna be using Q-learning
and the knowledge that you've acquired in this course
to solve something similar to the postman problem
and that may sound familiar to some of you.
Basically, it's a modified version
where our main goal
is to find the shortest path between locations.
And this is a really popular concept
within computer science,
and we wanna use AI and our Q-learning options to solve it.
This can be expanded to solve a range of business problems
and can really help demonstrate Q-learning concepts.
So, with that being said,
let's dive in and get started
solving this challenge in the next lecture.
But for those of you
that may want to try and solve it on your own,
and I highly recommend it,
it's a great way to practice.
You can build different solutions.
There's always multiple options to solving it.
In the next lecture, I will do my best
to provide the environment setup and overview
so that you can then write some of your own code
and approach, and then compare it
to the method that we use to solve it.
Awesome, let's get started
and I'll see you in the next lecture.