What was the initial state of the Q-table before re-instantiation?
Reinforcement Learning and Deep RL Python Theory and Projects - SARSA Implementation update

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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
It was initialized with ones.
It was not re-instantiated.
It was empty.
It was filled with random values.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What change was made to the Q-table before running the code?
It was initialized with zeros.
It was left unchanged.
It was initialized with ones.
It was filled with random values.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the observed performance after re-initializing the Q-table?
Significantly improved.
Slightly worse.
Significantly worse.
Almost unchanged.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many times was the Q-table trained in the previous setup?
5,000 times
10,000 times
20,000 times
15,000 times
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the approximate performance percentage after running the code?
75%
80%
85.9%
90%
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