End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning

Jason D. Williams, Geoffrey Zweig

This paper presents a model for end-to-end learning of task-oriented dialog systems. The main component of the model is a recurrent neural network (an LSTM), which maps from raw di…