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Volumn 241, Issue , 2012, Pages 95-106

Reward function learning for dialogue management

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTION EVALUATION; QUALITY CONTROL; SPEECH PROCESSING;

EID: 84879078248     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-61499-096-3-95     Document Type: Conference Paper
Times cited : (12)

References (23)
  • 7
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • Morgan Kaufmann
    • Mark A. Hall. Correlation-based feature selection for discrete and numeric class machine learning. In 17th International Conference on Machine Learning, pages 359-366. Morgan Kaufmann, 2000.
    • (2000) 17th International Conference on Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 13
    • 85009087667 scopus 로고    scopus 로고
    • Information state and dialogue management in the trindi dialogue move engine toolkit
    • S. Larsson and D. Traum. Information state and dialogue management in the trindi dialogue move engine toolkit. Natural Language Engineering, 6:323-340, 2000.
    • (2000) Natural Language Engineering , vol.6 , pp. 323-340
    • Larsson, S.1    Traum, D.2
  • 16
    • 79952794258 scopus 로고    scopus 로고
    • Reinforcement learning for spoken dialogue systems: Comparing strengths and weaknesses for practical deployment
    • Pittsburgh, PA
    • Tim Paek. Reinforcement learning for spoken dialogue systems: Comparing strengths and weaknesses for practical deployment. In Dialog-on-Dialog Workshop, Interspeech, Pittsburgh, PA, 2006.
    • (2006) Dialog-on-Dialog Workshop, Interspeech
    • Paek, T.1
  • 17
    • 47349127315 scopus 로고    scopus 로고
    • Automating spoken dialogue management design using machine learning : An industry perspective
    • Tim Paek and Roberto Pieraccini. Automating spoken dialogue management design using machine learning : An industry perspective. Speech Communication, 50:716-729, 2008.
    • (2008) Speech Communication , vol.50 , pp. 716-729
    • Paek, T.1    Pieraccini, R.2
  • 18
    • 79952788706 scopus 로고    scopus 로고
    • Learning and evaluation of dialogue strategies for new applications: Empirical methods for optimization from small data sets
    • Verena Rieser and Oliver Lemon. Learning and evaluation of dialogue strategies for new applications: Empirical methods for optimization from small data sets. Computational Linguistics, 37, 2011.
    • (2011) Computational Linguistics , vol.37
    • Rieser, V.1    Lemon, O.2
  • 21
    • 0004102479 scopus 로고    scopus 로고
    • Reinforcement learning
    • MIT Press
    • Richard S. Sutton and Andrew G. Barto. Reinforcement Learning. An introduction, pages 56-57. MIT Press, 1998.
    • (1998) An Introduction , pp. 56-57
    • Sutton, R.S.1    Barto, A.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.