Programming Throwdown, Episode 70, Coball and Mainframes. Take it away, Jason. Hey, everyone. Um, so, you know,

we actually, we get a lot of emails of people saying, uh, hey, can you advertise, you know,

our new, I don't know, energy drink or something. We'd actually get energy drink. I just don't

want to call anyone out. And we don't, uh, everything we advertise or everything we talk about, I should say,

are things we legitimately use.

We don't just, I think the word is shill.

We don't just shill for people.

And it's kind of part of proving that.

I was on Udacity because I was interested in game theory plus reinforcement learning.

So people who don't know I did my PhD in reinforcement learning, and I've also been just

really fascinated with game theory.

And now those two things are actually starting to come together.

So game theory has advanced to the point where economists don't know what to do.

And we'll talk about that a little bit.

And reinforcement learning has gotten to the point where, like, machine learning engineers are kind of stuck.

And they actually come right together.

And they're both kind of on this crash course.

So I put that into YouTube just to kind of see, you know, what I would get, you know, what people are thinking about that. And I got a Udacity course. It was actually the last video in the machine learning course was the first result. And basically it was Michael Littman, who's pretty

famous in the reinforcement learning community. And he's like, yeah, we don't know how to solve this.

He's like, here's some ideas, but I have no idea. So it didn't really help me that much. Actually,

the ideas were some pretty good leads. But it was pretty cool that, like, audacity is pretty integrated in YouTube and all of that.

But basically, just to kind of fill everyone in,

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