Cart (Loading....) | Create Account
Close category search window
 

A Comprehensive Reinforcement Learning Framework for Dialogue Management Optimization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Daubigney, L. ; IMS-MaLIS Res. Group, Metz, France ; Geist, M. ; Chandramohan, S. ; Pietquin, O.

Reinforcement learning is now an acknowledged approach for optimizing the interaction strategy of spoken dialogue systems. If the first considered algorithms were quite basic (like SARSA), recent works concentrated on more sophisticated methods. More attention has been paid to off-policy learning, dealing with the exploration-exploitation dilemma, sample efficiency or handling non-stationarity. New algorithms have been proposed to address these issues and have been applied to dialogue management. However, each algorithm often solves a single issue at a time, while dialogue systems exhibit all the problems at once. In this paper, we propose to apply the Kalman Temporal Differences (KTD) framework to the problem of dialogue strategy optimization so as to address all these issues in a comprehensive manner with a single framework. Our claims are illustrated by experiments led on two real-world goal-oriented dialogue management frameworks, DIPPER and HIS.

Published in:

Selected Topics in Signal Processing, IEEE Journal of  (Volume:6 ,  Issue: 8 )

Date of Publication:

Dec. 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.