In this segment, we will implement Deep SARSA Learning with the keras-rl library. keras-rl is a simple neural network API that allows simple and easy implementation of reinforcement learning models (Q, SARSA, and others).  To learn more about keras-rl visit the documentation at https://keras-rl.readthedocs.io/en/latest/

We will be using the same Cart-Pole environment we have been using so far from OpenAI Gym.

Jupyter notebook for Deep SARSA learning - https://github.com/PacktPublishing/Python-Deep-Learning-Projects/blob/master/Chapter%2015/Deep%20SARSA.ipynb