Reinforcement Learning

  • Verena Rieser
  • Oliver Lemon
Part of the Theory and Applications of Natural Language Processing book series (NLP)


In this Chapter we summarise and discuss the main arguments for the use of RL in dialogue development, and introduce the reader to the technical details of this approach. We provide the reader with more background knowledge about the basic principles and ideas behind RL, and we relate these principles to basic characteristics of dialogue interaction.


Reinforcement Learn Belief State Dialogue System Dialogue Strategy Partially Observable Markov Decision Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.School of Mathematical and Computer SciencesHeriot-Watt UniversityEdinburghUK

Personalised recommendations