Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Automatic optimization of dialogue management
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Efficient model learning for dialog management
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Connection Science - Language and Robots
| Hi-index | 0.00 |
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.