on-line learning of a persian spoken dialogue system using real training data

the first spoken dialogue system developed for the persian language is introduced. this is a ticket reservation system with persian asr and nlu modules. the focus of the paper is on learning the dialogue management module. in this work, real on-line training data are used during the learning process. for on-line learning, the effect of the variations of discount factor (g) on the learning speed is investigated as the second contribution of the research. the optimal values for g were found and the variation pattern of the action-value function (q) in the learning process was obtained. a probabilistic policy for selecting actions is used in this work for the first time instead of greedy policies employed in previous works.