Abstract dialogue management concerns what action or response dialogue systems should take in response to user input. Recently, academic researchers have been pursuing methods for automating the design of dialogue management using machine learning techniques such as reinforcement learning. This talk provides a survey of these techniques from an industry perspective, critically evaluating to what extent they are ready for commercial deployment. It also highlights machine learning approaches with more practical import.