Deep Reinforcement Learning, also often referred to as (Deep) Q-Learning, has hit the news with winning against human teams in multi player computer games. In this presentation I would like to outline the basic observations that are the foundationto reinforcement learning and how from there the journey continued to current successes. Live demonstrations will provide the insight into understanding Q-learning principles down to the numbers. An outlook into future developments and applications in areas like logistics and pharmacy will be provided.