Reinforcement Learning and Deep RL Python Theory and Projects - Epsilon

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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary role of epsilon in decision-making?
To determine the speed of learning
To choose between exploration and exploitation
To calculate rewards
To initialize the Q-table
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When should you choose to explore according to the Q-table example?
When the Q-table is half-filled
When the Q-table has positive values
When the Q-table is full of zeros
When the Q-table has negative values
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a high epsilon value indicate in terms of exploration?
More exploitation
More exploration
Balanced exploration and exploitation
No exploration
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the random uniform function relate to epsilon?
It initializes the Q-table
It generates a random value to compare with epsilon
It calculates the reward
It determines the learning rate
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens if the random value is less than epsilon?
The algorithm will reset
The algorithm will explore
The algorithm will exploit
The algorithm will stop
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to update the epsilon value over time?
To increase the speed of learning
To decrease the complexity of the algorithm
To ensure more exploration as the game progresses
To balance exploration and exploitation as more information is gathered
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What question does the instructor pose about epsilon?
How does epsilon affect the reward?
Why is epsilon used in algorithms?
Why should epsilon be updated over time?
What is the optimal value of epsilon?
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