Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Frozen Lake - 1

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Information Technology (IT), Architecture, Mathematics
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library is imported as 'NP' in the initial setup?
Pandas
Numpy
Matplotlib
Scipy
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of importing the 'random' library?
To create random environments
To choose between exploitation and exploration
To shuffle data in arrays
To generate random numbers for data analysis
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does setting 'slippery' to false in the Frozen Lake environment imply?
The agent will always move in the intended direction
The agent will slip occasionally
The environment will have more obstacles
The game will have a higher difficulty level
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many actions can the agent perform in the Frozen Lake environment?
Four
Three
Five
Two
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the number of states in the Frozen Lake environment determined?
By the number of rows and columns
By the number of obstacles
By the number of agents
By the number of actions
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the initial value used to populate the Q-table?
Random values
Twos
Ones
Zeros
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the Q-table, what do the rows and columns represent?
Both rows and columns represent states
Rows represent actions, columns represent states
Rows represent states, columns represent actions
Both rows and columns represent actions
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