Adversarial Search Flashcards

1
Q

Reinforcement learning techniques has eclipsed __________ search for some games

A

alpha-beta

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2
Q

We represent 2-player games like chess as a ____ ______

A

game tree

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3
Q

In the game tree, nodes alternate between _____

A

moves

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4
Q

In a min/max search, MIN whats to ______ the objective function and MAX wants to ______ it

A

minimize, maximize

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5
Q

The _________ algorithm is the basic search techniques that computers use for making moves

A

MINIMAX

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6
Q

Alpha-beta pruning is a technique for efficiently _________ certain parts of the game tree

A

discarding

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7
Q

AlphaZero learned how to play chess in less than ___ hours of _____, but it did needs tons of _________ power

A

10, self-play, computational

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8
Q

AlphaZero uses a technique called…

A

Monte-Carlo Tree Search

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9
Q

What is the basic idea of the Monte-Carlo Tree Search?

A
  • Pick random successor states until the game is played out
  • Repeat thousands of times
  • Select the move leading to the most wins
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10
Q

AlphaZero has also become a master at ______ and __

A

Shogi, Go

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11
Q

_____ _______ was the first machine to beat a grandmaster in a tournament. It was later brought to IDB and renamed ____ _____

A

Deep Thought, Deep Blue

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