Reinforcement Learning Algorithms with Python

Developing an RL cycle

A basic RL cycle is shown in the following code block. This essentially makes the RL model play for 10 moves while rendering the game at each step:

import gym# create the environment env = gym.make("CartPole-v1")# reset the environment before startingenv.reset()# loop 10 timesfor i in range(10):    # take a random action    env.step(env.action_space.sample())    # render the game   env.render()# close the environmentenv.close()

This leads to the following output:

Figure 2.1: Rendering of CartPole

Let's take a closer look at the code. It starts by creating a new environment named CartPole-v1, a classic game used in control theory ...