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On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.

P. Su, M. Gasic, N. Mrksic, L. Rojas-Barahona, S. Ultes, D. Vandyke, T. Wen, and S. Young. ACL (1), The Association for Computer Linguistics, (2016)

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Nikola Pantscheff

Nikola Sirakoff

Nikola Schoofs

Nikola Stiasni

Nikola Schulenberg

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A Network-based End-to-End Trainable Task-oriented Dialogue System.T. Wen, D. Vandyke, N. Mrksic, M. Gasic, L. Rojas-Barahona, P. Su, S. Ultes, and S. Young. EACL (1), page 438-449. Association for Computational Linguistics, (2017)Conditional Generation and Snapshot Learning in Neural Dialogue Systems.T. Wen, M. Gasic, N. Mrksic, L. Rojas-Barahona, P. Su, S. Ultes, D. Vandyke, and S. Young. EMNLP, page 2153-2162. The Association for Computational Linguistics, (2016)Training Neural Response Selection for Task-Oriented Dialogue Systems.M. Henderson, I. Vulic, D. Gerz, I. Casanueva, P. Budzianowski, S. Coope, G. Spithourakis, T. Wen, N. Mrksic, and P. Su. ACL (1), page 5392-5404. Association for Computational Linguistics, (2019)Policy committee for adaptation in multi-domain spoken dialogue systems.M. Gasic, N. Mrksic, P. hao Su, D. Vandyke, T. Wen, and S. Young. ASRU, page 806-812. IEEE, (2015)ConvFiT: Conversational Fine-Tuning of Pretrained Language Models.I. Vulic, P. Su, S. Coope, D. Gerz, P. Budzianowski, I. Casanueva, N. Mrksic, and T. Wen. EMNLP (1), page 1151-1168. Association for Computational Linguistics, (2021)On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.P. Su, M. Gasic, N. Mrksic, L. Rojas-Barahona, S. Ultes, D. Vandyke, T. Wen, and S. Young. ACL (1), The Association for Computer Linguistics, (2016)Counter-fitting Word Vectors to Linguistic ConstraintsN. Mrkšić, D. Séaghdha, B. Thomson, M. Gašić, L. Rojas-Barahona, P. Su, D. Vandyke, T. Wen, and S. Young. HLT-NAACL, (2016)Data-driven language understanding for spoken dialogue systems.N. Mrksic. University of Cambridge, UK, (2018)British Library, EThOS.Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.T. Wen, M. Gasic, N. Mrksic, L. Rojas-Barahona, P. Su, D. Vandyke, and S. Young. HLT-NAACL, page 120-129. The Association for Computational Linguistics, (2016)Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems.P. Su, D. Vandyke, M. Gasic, N. Mrksic, T. Wen, and S. Young. SIGDIAL Conference, page 417-421. The Association for Computer Linguistics, (2015)

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Disambiguation of "Mrksic, Nikola"

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On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.

Please choose a person to relate this publication to

Nikola Pantscheff

Nikola Sirakoff

Nikola Schoofs

Nikola Stiasni

Nikola Schulenberg

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mrksic, Nikola"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.

Please choose a person to relate this publication to

Nikola Pantscheff

Nikola Sirakoff

Nikola Schoofs

Nikola Stiasni

Nikola Schulenberg

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.