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