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Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.

C. Geishauser, C. van Niekerk, N. Lubis, M. Heck, H. Lin, S. Feng, and M. Gasic. CoRR, (2022)

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Max Geishauser

Elisabeth Geishauser

Otto Geishauser

Elisabeth Geishauser

Thomas Geishauser

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Dynamic Dialogue Policy for Continual Reinforcement Learning.C. Geishauser, C. van Niekerk, H. Lin, N. Lubis, M. Heck, S. Feng, and M. Gasic. COLING, page 266-284. International Committee on Computational Linguistics, (2022)GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers.H. Lin, C. Geishauser, S. Feng, N. Lubis, C. van Niekerk, M. Heck, and M. Gasic. SIGDIAL, page 270-282. Association for Computational Linguistics, (2022)What does the User Want? Information Gain for Hierarchical Dialogue Policy Optimisation.C. Geishauser, S. Hu, H. Lin, N. Lubis, M. Heck, S. Feng, C. van Niekerk, and M. Gasic. ASRU, page 969-976. IEEE, (2021)EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems.S. Feng, N. Lubis, C. Geishauser, H. Lin, M. Heck, C. van Niekerk, and M. Gasic. LREC, page 4096-4113. European Language Resources Association, (2022)ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.Q. Zhu, C. Geishauser, H. Lin, C. van Niekerk, B. Peng, Z. Zhang, M. Heck, N. Lubis, D. Wan, X. Zhu and 3 other author(s). CoRR, (2022)Out-of-Task Training for Dialog State Tracking Models.M. Heck, C. Geishauser, H. Lin, N. Lubis, M. Moresi, C. van Niekerk, and M. Gasic. COLING, page 6767-6774. International Committee on Computational Linguistics, (2020)Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems.H. Lin, N. Lubis, S. Hu, C. van Niekerk, C. Geishauser, M. Heck, S. Feng, and M. Gasic. SIGDIAL, page 445-456. Association for Computational Linguistics, (2021)CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation.C. van Niekerk, C. Geishauser, M. Heck, S. Feng, H. Lin, N. Lubis, B. Ruppik, R. Vukovic, and M. Gasic. CoRR, (2023)ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?M. Heck, N. Lubis, B. Ruppik, R. Vukovic, S. Feng, C. Geishauser, H. Lin, C. van Niekerk, and M. Gasic. ACL (2), page 936-950. Association for Computational Linguistics, (2023)Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles.C. van Niekerk, M. Heck, C. Geishauser, H. Lin, N. Lubis, M. Moresi, and M. Gasic. EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3096-3102. Association for Computational Linguistics, (2020)

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Disambiguation of "Geishauser, Christian"

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Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.

Please choose a person to relate this publication to

Max Geishauser

Elisabeth Geishauser

Otto Geishauser

Elisabeth Geishauser

Thomas Geishauser

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Geishauser, Christian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.

Please choose a person to relate this publication to

Max Geishauser

Elisabeth Geishauser

Otto Geishauser

Elisabeth Geishauser

Thomas Geishauser

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning.