Key points are not available for this paper at this time.
This paper describes NJFun, a real-time spoken dialogue system that provides users with information about things to do in New Jersey. NJFun automatically optimizes its dialogue strategy over time, by using a methodology for applying reinforcement learning to a working dialogue system with human users.
Litman et al. (Sat,) studied this question.