Reinforcement Learning 101: Because You Want To

Welcome to this crash course on reinforcement learning. You're probably here because your friend told you it's the "future of AI" or something.

But let's be real, you're probably still trying to figure out what a neural network is. That's okay! We'll get you up to speed in no time.

What's the Goal of Reinforcement Learning?

Reinforcement learning is all about making decisions. Like, literally all about it. You see, you've got an agent (that's a fancy way of saying "computer program") that wants to make choices. And it wants those choices to get it rewards.

The idea is simple: the agent learns by making decisions and getting either positive or negative feedback. If it does something good, it gets a reward. If it does something bad, it doesn't. It's like playing a game where every time you win, you get a sticker.

Sounds simple enough, right? Well, it's actually really, really hard. But don't worry, we'll break it down for you in bite-sized pieces.

Subpages: