What do AlphaGo, a robot that plays table tennis, a program that recognises emotions, and self-driving cars all have in common, besides the fact that all of them appeal to our imagination and are guaranteed to hit the headlines? They are all applications that use deep reinforcement learning (DRL). Intelligent stock management has recently joined that list. Along with two other colleagues, doctoral researcher Joren Gijsbrechts and Professor Robert Boute have demonstrated that DRL can be applied successfully to problems that seemed all but unsolvable up to now. For the very first time!