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Building dialogue POMDPs from expert dialogues: an end-to-end approach
This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. It presents POMDP as a formal framework to represent uncertainty explicitly while supporting automated policy solving. The authors propose and implement an end-to-end learning approach...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2016
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-26200-0 http://cds.cern.ch/record/2137831 |