Review Final Exam | Baamboozle - Baamboozle | The Most Fun Classroom Games!

Team 1
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Team 2
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Teams

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Score

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15

Why can K-means give different results on the same dataset?

Random centroid initialization.

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15

What happens first in K-means?

Assign points

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15

K-means is what type of learning?

Unsupervised

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trap

No points!

Oops!

gift

Win 25 points!

Okay!

fairy

Take points!

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25

lifesaver

Give 25 points!

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15

What is the main goal of PCA?

PCA reduces dimensions while preserving maximum variance.

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15

Policy iteration consists of:

Policy evaluation + policy improvement

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15

If living reward is negative, what behavior is encouraged?

Faster finishing.

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15

How is a centroid updated in K-means?

By taking the mean of all assigned points.

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15

Which are components of an MDP?

States, Actions, Rewards

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baam

Lose 25 points!

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rocket

Go to first place!

Okay!

fairy

Take points!

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25

lifesaver

Give 20 points!

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eraser

Reset score!

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rocket

Go to first place!

Okay!

rocket

Go to first place!

Okay!

banana

Go to last place!

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15

If Q(s,a) values are: Left = 3 Right = 7 Up = 5 What action will policy choose?

Right

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banana

Go to last place!

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shark

Other team loses 10 points!

Okay!

rocket

Go to first place!

Okay!

baam

Lose 10 points!

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15

What does K represent in K-means?

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15

If γ = 0, the agent cares about:

Immediate reward only

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15

In PCA, what does the first principal component maximize?

Variance

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