Design a computer system using tree search and reinforcement learning algorithms : Visualizing the Outcomes of a Simple

The video tutorial covers the use of Monte Carlo methods for prediction and control in a blackjack environment. It explains how to visualize outcomes using Numpy's meshgrid function and Matplotlib for plotting. The tutorial demonstrates creating a grid for plotting value estimates and visualizing the results for both usable and non-usable ace cases. It concludes with a transition to policy optimization using Monte Carlo methods.

In what way does the visualization of the value function enhance understanding of the blackjack strategy?

How does the randomness of card distribution affect the value of the player's hand in blackjack?

What steps are involved in transitioning from prediction to control in the context of this video?