How Does Reinforcement Learning Work?

Reinforcement Learning is a type of Artificial Intelligence that uses what's it? to learn how to do stuff.

It's like when your mom says "if you do the dishes, you get a cookie." The agent learns what actions lead to cookies (good stuff) and tries to repeat those actions over and over.

Here's how it works:

1. Agent: The AI does some stuff.
2. Environment: The world around the agent, which includes things that affect the agent.
3. Reward: A score or a cookie, which tells the agent if it's doing well or not.
4. Q-Table: A fancy name for "what I've learned so far."
5. Update: The agent uses the Reward to update the Q-Table, so it can learn faster.

You can also learn more about types of reinforcement learning, algorithms, or applications of reinforcement learning.