In this segment, we will implement Deep Q Learning with deep learning model built using the keras deep learning library as the function approximator.

We will start off this segment with a gentle introduction as to how to use the Gym module and then move on to understanding what Q learning is and finally implement the Deep Q learning. We will be using the Cart-Pole environment from OpenAI Gym.

To follow along here is the jupyter notebook for Deep Q Learning section  https://github.com/PacktPublishing/Python-Deep-Learning-Projects/blob/master/Chapter%2015/DQN.ipynb