Reinforcement learning for parameter estimation in statistical spoken dialogue systems

2012 ◽  
Vol 26 (3) ◽  
pp. 168-192 ◽  
Author(s):  
Filip Jurčíček ◽  
Blaise Thomson ◽  
Steve Young
2010 ◽  
Author(s):  
F. Jurčíček ◽  
B. Thomson ◽  
S. Keizer ◽  
François Mairesse ◽  
M. Gašić ◽  
...  

2017 ◽  
Author(s):  
Stefan Ultes ◽  
Paweł Budzianowski ◽  
Iñigo Casanueva ◽  
Nikola Mrkšić ◽  
Lina M. Rojas Barahona ◽  
...  

2009 ◽  
Vol 24 (4) ◽  
pp. 375-408 ◽  
Author(s):  
Matthew Frampton ◽  
Oliver Lemon

AbstractThis paper will summarize and analyze the work of the different research groups who have recently made significant contributions in using Reinforcement Learning techniques to learn dialogue strategies for Spoken Dialogue Systems (SDSs). This use of stochastic planning and learning has become an important research area in the past 10 years, since it promises automatic data-driven optimization of the behavior of SDSs that were previously hand-coded by expert developers. We survey the most important developments in the field, compare and contrast the different approaches, and describe current open problems.


2014 ◽  
Author(s):  
Ioannis Klasinas ◽  
Elias Iosif ◽  
Katerina Louka ◽  
Alexandros Potamianos

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