Implementation
You'll develop the code as you work along this chapter, but keep in mind that I've provided the whole implementation of Thompson Sampling for this application; you have it available on the GitHub page (https://github.com/PacktPublishing/AI-Crash-Course) of this book. If you want to try and run the code, you can do it on Colaboratory, Spyder in Anaconda, or simply your favorite IDE.
Thompson Sampling vs. Random Selection
While implementing Thompson Sampling, you'll also implement the Random Selection algorithm, which will simply select a random strategy at each round. This will be your benchmark to evaluate the performance of your Thompson Sampling model. Of course, Thompson Sampling and the Random Selection algorithm will be competing on the same simulation, that is, on the same environment matrix.
Performance measure
In the end, after the whole simulation is done, you can assess the performance of Thompson Sampling by computing...
