Deep Reinforcement Learning, also often referred to as (Deep) Q-Learning, has hit the news after winning against human teams in multi-player gaming environments. In this session, I outline the key elements that are the foundation of reinforcement learning and explain how the journey progressed to current successes. Live demonstrations offer insights into understanding Q-learning principles down to the numbers. The presentation will conclude with an outlook into future developments and applications in areas such as logistics and pharmacy.