Hands-On Genetic Algorithms with Python

The env interface

To create an environment, we need to use the make() method and the name of the desired environment, as follows:

env = gym.make('MountainCar-v0')

Detailed information about the available environments is available at the following links:

• https://github.com/openai/gym/blob/master/docs/environments.md
• https://gym.openai.com/envs/

Once the environment has been created, it can be initialized using the reset() method, as shown in the following code snippet:

observation = env.reset()

This method returns an observation object, describing the initial state of the environment. The content of the observation is environment-dependent.

Conforming with the reinforcement learning cycle that we described in the previous subsection, t