Reinforcement Learning and Deep RL Python Theory and Projects - Moving Avg Implemented

The video tutorial explains the concept of moving average, particularly in the context of solving problems using DQN. It provides a detailed example of calculating moving averages over episodes and demonstrates how to implement this in code. The tutorial also covers testing and debugging the code to ensure accuracy and functionality.

How does the moving average help in determining if the problem is solved?

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What are the implications of having a moving average below 195 after 100 episodes?

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What is the expected output of the moving average function when the input length is less than the specified period?

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Why do we need to concatenate zeros at the beginning of the moving average?

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