Expected SARSA is like when you guess what your friend will do next to help you win a game.
Imagine you and your friend are playing a board game together. You want to know if you should move forward or stay back, but you don't have all the information yet. So, you guess what your friend will do, maybe they'll take a shortcut, and use that guess to decide your best move.
How it works
- You make a smart guess, not just a random one.
- It’s like when you try to finish your homework faster by thinking about how your teacher might check it next.
- If your friend does what you guessed, great! You did well. If not, you learn and adjust for next time.
Why it's useful
It helps you make better choices without knowing everything upfront, just like when you pick a snack because you think your brother will want the last cookie. You're using Expected SARSA to win the game of life!
Examples
- A child learns to ride a bike by trying different ways and seeing which one works best.
- An animal in the wild tries new behaviors until it finds the right way to survive.
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See also
- What are machine learning algorithms?
- What are supervised learning algorithms?
- Can artificial intelligence contribute to the discovery of new physics theories?
- How AI really works (...it’s not actually intelligent)?
- But What Is Overfitting in Machine Learning?