Reinforcement Learning and Deep RL Python Theory and Projects - Epsilon Greedy Strategy Implemented
Interactive Video
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Information Technology (IT), Architecture
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University
•
Hard
Wayground Content
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The video tutorial covers the creation of an epsilon greedy strategy class in Python. It begins with initializing the class with start, end, and decay values. The tutorial then defines a function to calculate the exploration rate using a mathematical formula. The video concludes with a brief mention of the next steps, which involve creating an agent class.
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2 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the epsilon greedy strategy decide whether to explore or exploit?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What will be created in the upcoming video related to the epsilon greedy strategy?
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