In the past years, reinforcement learning (RL) gained much attention in related research communities and public media. It has been shown that it can be used for various types of problems to automate the solution of decision processes. Due to its universality, many other research areas can benefit from the tools provided by RL. My research is focused on the development of RL and related methods for application in revenue management and operations research. Within that area, many recurring decision problems arise. Modern enterprise systems offer the opportunity to access data related to those problems to a former unexperienced extent.
