@InProceedings{Supelec800,
author = {Senthilkumar Chandramohan and Matthieu Geist and Fabrice Lefèvre and Olivier Pietquin},
title = {{Co-adaptation in Spoken Dialogue Systems}},
year = {2012},
booktitle = {{Proceedings of the Fourth International Workshop on Spoken Dialog Systems (IWSDS 2012)}},
month = {November},
address = {Paris (France)},
url = {http://www.metz.supelec.fr//metz/personnel/geist_mat/pdfs/Supelec800.pdf},
abstract = {Spoken Dialogue Systems are man-machine interfaces which use
spoken language as the medium of interaction. In recent years,
dialogue optimization using reinforcement learning has evolved
to be a state of the art technique. The primary focus of
research in the dialogue optimization domain is to learn some
optimal policy with regard to the task description (reward
function) and the user simulation being employed. However in
case human-human interaction, the parties involved in the
dialogue conversation mutually evolve over the period of
interaction. This very ability of humans to co-adapt attributes
largely towards increasing the naturalness of the dialogue.
This paper outlines a novel framework for co-adaptation in
spoken dialogue systems, where the dialogue manager and user
simulation evolve over a period of time; they incrementally and
mutually optimize their respective behaviors. }
}