Amanote Research

Amanote Research

    RegisterSign In

Evaluation of a Hierarchical Reinforcement Learning Spoken Dialogue System

Computer Speech and Language - United States
doi 10.1016/j.csl.2009.07.001
Full Text
Open PDF
Abstract

Available in full text

Categories
Theoretical Computer ScienceHuman-Computer InteractionSoftware
Date

April 1, 2010

Authors
Heriberto CuayáhuitlSteve RenalsOliver LemonHiroshi Shimodaira
Publisher

Elsevier BV


Related search

Optimising Spoken Dialogue Strategies Within the Reinforcement Learning Paradigm

2008English

Evaluation of a Spoken Dialogue System for Controlling a Hifi Audio System

2008English

A Robust System for Natural Spoken Dialogue

1996English

A Neural Model of Hierarchical Reinforcement Learning

PLoS ONE
Multidisciplinary
2017English

A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue

2003English

Student Evaluations of a (Rude) Spoken Dialogue System Insights From an Experimental Study

Advances in Human-Computer Interaction
Human-Computer Interaction
2018English

Bayesian Update of Dialogue State: A POMDP Framework for Spoken Dialogue Systems

Computer Speech and Language
Theoretical Computer ScienceHuman-Computer InteractionSoftware
2010English

Flexible Multi-Layer Spoken Dialogue Corpora

International Journal of Corpus Linguistics
LinguisticsLanguage
2016English

Methods for Acceleration of Learning Process of Reinforcement Learning Neuro-Fuzzy Hierarchical Politree Model

2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy