Robotic systems are nowadays capable of solving complex navigation tasks. However, their capabilities limited to the knowledge designer and consequently lack generalizability initially unconsidered situations. This makes deep reinforcement learning (DRL) especially interesting, as these algorithms promise a self-learning system only relying on feedback from environment. In this paper, we consid...