Reinforcement Learning, Bayesian Statistics, and Tensorflow Probability: a child's game - Part 2

In the first part, we explored how Bayesian Statistics might be used to make reinforcement learning less data-hungry. Now we execute this idea in a simple example, using Tensorflow Probability to implement our model. When it comes to games, it is difficult to imagine something simpler than rock, paper, scissors. Despite the simplicity, googling the game reveals a remarkable body of literature. We want to use Bayesian Statistics to play this game and exploit the biases of a human opponent.