In the project in this chapter, we have successfully built a Deep Reinforcement Learning model each with Q Learning and Sarsa Learning in Keras using the Cart-Pole game from Open Gym AI. We understood Q learning, SARSA learning, how to interact with game environments from Gym, and the function of the agent (deep learning model). We have defined some key hyperparameters as well as in some places, reasoned with why we used what we used. Finally, we tested the performance of our reinforcement learning on new games and determined that we succeeded in achieving the goals.