Keras Deep Learning Cookbook

The CartPole game with Keras

CartPole is one of the simpler environments in the OpenAI Gym (a game simulator). The goal of CartPole is to balance a pole connected with one joint on top of a moving cart. Instead of pixel information, there are two kinds of information given by the state: the angle of the pole and position of the cart. An agent can move the cart by performing a sequence of actions of 0 or 1 to the cart, pushing it left or right:

The OpenAI Gym makes interacting with the game environment really simple:

next_state, reward, done, info = env.step(action)

In the preceding code, an action can be either 0 or 1. If we pass those numbers, ...