Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Module - Hyper Parameters and Concepts
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary advantage of using Q-learning over random solutions?
It requires fewer steps to complete a task.
It is easier to implement.
It does not require any training.
It guarantees the best solution.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of epsilon in Q-learning?
To determine the learning rate.
To adjust the discount factor.
To initialize the Q-table.
To balance exploration and exploitation.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a hyperparameter in Q-learning?
Epsilon
Gamma
Beta
Alpha
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the alpha parameter affect the Q equation?
It adjusts the balance between exploration and exploitation.
It determines the learning rate.
It sets the initial value of the Q-table.
It controls the discount factor for future rewards.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the gamma parameter in the Q equation?
To adjust the learning rate.
To determine the importance of future rewards.
To balance exploration and exploitation.
To set the initial Q values.
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