Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Q Learning - 3

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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the new term used to refer to the previously called random solution?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How many steps did the Q learning algorithm take in comparison to the manual solution?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What does the teacher imply about the performance of the Q learning algorithm after only 10,000 iterations?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of the number 29 in the context of the solutions discussed?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What was the teacher's reaction to the performance of the reinforcement learning solution?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What was the average number of steps taken when the reinforcement learning solution was run for 100 times?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the main goal of the discussion in the video?
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