In this report, we analyze how a Deep Q-Network (DQN) can effectively solve the Lunar Lander Gym Environment Open AI RL problem. Moreover, the original modeling and study was done in Spring of 2019. This particular report is an adaptation of such work with a particular focus on instrumenting the experimentation harness with WandB's experiment tracking and hyperparameter tuning libraries.