@inproceedings{barlier2015human-machine,
author = {Barlier, Merwan and Laroche, Romain and Pietquin, Olivier},
title = {Human-Machine Dialogue as a Stochastic Game},
booktitle = {Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)},
year = {2015},
month = {August},
abstract = {In this paper, an original framework to model human-machine spoken dialogues is proposed to deal with co-adaptation between users and Spoken Dialogue Systems in non-cooperative tasks. The conversation is modeled as a Stochastic Game: both the user and the system have their own preferences but have to come up with an agreement to solve a non-cooperative task. They are jointly trained so the Dialogue Manager learns the optimal strategy against the best possible user. Results obtained by simulation show that non-trivial strategies are learned and that this framework is suitable for dialogue modeling.},
url = {http://approjects.co.za/?big=en-us/research/publication/human-machine-dialogue-stochastic-game/},
edition = {Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)},
}