Dialogue manager domain adaptation using Gaussian process reinforcement learning

This dataset correspond to the results presented in Computer Speech and Language article Dialogue manager domain adaptation using Gaussian process reinforcement learning and relates to Figure 7. Two contrasts were presented: Prior and NoPrior. NoPrior[1,2,3] is the data obtained in interaction with Amazon MTurk while training three policies for SFR domain. Prior[1,2,3] is the data obtained while training policy for SFR domain that uses a generic policy as a prior. In each directory there is a call directory with a time stamp in the name which contains session.xml file with the dialogue log and feedback.xml file with the user feedback. Figure 8 is obtained using data previously published at https://www.repository.cam.ac.uk/handle/1810/251169 and Figure 9 is obtained using data previously published at https://www.repository.cam.ac.uk/handle/1810/252636 . This data is released under a Creative Commons CC-BY licence (see https://creativecommons.org/licenses/by/4.0/)

• Publication year

  2016

• Venue

  Computer Speech and Language

• Publication date

  2016-09-05

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/j.csl.2016.09.003arXiv 1609.02846
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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