Hands-On Reinforcement Learning for Games

Plotting the guesses

If you are still having problems grasping this concept, visualizing this example may be more helpful. Run the exercise in the next section if you want to visualize what this sampling looks like:

1. Before starting this exercise, we will install the matplotlib library. Install the library with pip using the following command:

pip install matplotlib

2. After the install, open up the Chapter_3_2.py code example shown here:

import matplotlib.pyplot as pltfrom random import randomins = 0n = 1000x_ins = []y_ins = []x_outs = []y_outs = []for _ in range(n):    x = (random()-.5) * 2    y = (random()-.5) * 2     if (x**2+y**2) <= 1:        ins += 1        x_ins.append(x)        y_ins.append(y)    else:        x_outs.append(x)        y_outs.append(y)pi = 4 * ins/nprint(pi)fig, ...