Welcome back to Machine Learning Guide. I'm your host, Tyler Rinelli.

MLG teaches the fundamentals of machine learning and artificial intelligence.

It covers intuition, models, math, languages, frameworks, and more.

Where your other machine learning resources provide the trees, I provide the forest.

Visual is the best primary learning modality, but audio is a great supplement during exercise commute and chores.

Consider MLG your syllabus with highly curated resources for each episode's details at OCdevel.com forward slash MLG.

I'm also starting a new podcast which could use your support.

It's called Lefnear's Life Hacks and teaches productivity focused tips and tricks,

some which could prove beneficial in your machine learning education journey.

Find that at OCDevelle.com forward slash LLH.

This is episode 29, reinforcement learning introduction.

Finally, my friends, we are at reinforcement learning.

The beginning of the end of your artificial intelligence quest.

The beginning of the end.

The beginning of the end, because reinforcement learning is not

artificial intelligence. But as you'll see in a bit, it is such a core component of AI. It's kind of

the heart of AI. And when you start diving into RL, you'll really feel like you've made a huge

step towards that goal. You'll feel the magic of RL and start to feel like you're making a dent

in the grand picture. Let's define RL and start to feel like you're making a dent in the grand

picture. Let's define RL first and then we'll come back to AI. Reinforcement learning, or RL,

is the third pillar of machine learning. We have unsupervised, supervised, and reinforcement learning,

and sometimes semi-supervised, but we don't talk about that in this series.

...