The underwater capability of human technology is supremely underdeveloped. In an effort to improve these abilities, this group is tasked with designing a 3D printed underwater vehicle that is only a cubic foot in overall volume. Furthermore, it must be capable of using artificial intelligence, through deep reinforcement learning, to self-navigate underwater. In doing so, it will also be able to detect disturbances within its environment, and follow a given target as well using the sensors it has on board.