Reinforcement Learning and Deep RL Python Theory and Projects - Plotting the Moving Avg

This video tutorial covers the concept of moving averages, focusing on how to receive values and periods to calculate them. It demonstrates plotting these averages using Matplotlib, including setting up labels for the X and Y axes. The tutorial explains how to calculate moving averages, plot them, and clear previous plots for continuous updates. It also includes testing with random data and analyzing the results to achieve a target average. The video concludes with a brief mention of the next steps involving the DQN algorithm.

What are the two main parameters required by the moving average function?

• Period and frequency

• Values and period

• Values and frequency

• Frequency and duration

What is the purpose of setting labels for the X and Y axes in the plot?

• To make the plot colorful

• To increase the plot size

• To enhance the visual appeal

• To provide context for the data being plotted

What is the role of the 'plt.plot' function in the context of the video?

• To calculate the moving average

• To set the plot labels

• To display the plot

• To clear the plot

Why is it important to clear the display before plotting again inside a loop?

• To avoid overlapping of plots

• To change the plot color

• To save memory

• To speed up the plotting process

What does the negative indexing '-1' signify when printing the last element of the moving average?

• The first element

• The middle element

• The second element

• The last element

What is the significance of reaching an average of 195 in the context of the video?

• It suggests a need for more data

• It marks the completion of the goal

• It shows an error in the process

• It indicates the start of the process

What is the expected behavior of the average after 100 episodes according to the video?

• It should remain constant

• It should decrease

• It should fluctuate

• It should increase steadily