Reinforcement Learning 101: The Ultimate Guide to Not Getting Frustrated
Reinforcement Learning is a type of Machine Learning where an agent learns to make decisions by interacting with an environment. The agent receives rewards or penalties based on its actions, and it learns to maximize the rewards over time.
Imagine you're at a casino, and you want to learn how to play a game where you get a cookie if you win, but you get a slap in the face if you lose. That's basically what Reinforcement Learning is all about.
But don't worry, it's not just for gamblers. Reinforcement Learning is used in many real-world applications, such as: