Abstract
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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rieser, V., Lemon, O. (2011). Reinforcement Learning. In: Reinforcement Learning for Adaptive Dialogue Systems. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24942-6_3
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DOI: https://doi.org/10.1007/978-3-642-24942-6_3
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24941-9
Online ISBN: 978-3-642-24942-6
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