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Volumn , Issue , 2007, Pages 268-275

Combining reinforcement learning with information-state update rules

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL FRAMEWORK; FORMAL SPECIFICATION; INFORMATION STATE; USER BEHAVIORS; USER SIMULATION;

EID: 70349253156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (13)
  • 1
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    • 0018643589 scopus 로고
    • Elements of a plan-based theory of speech acts
    • P. Cohen and C. Perrault. 1979. Elements of a plan-based theory of speech acts. Cognitive Science, 3(3):177-212. (Pubitemid 10171347)
    • (1979) Cognitive Science , vol.3 , Issue.3 , pp. 177-212
    • Cohen, P.R.1    Perrault, C.R.2
  • 4
    • 70349132784 scopus 로고    scopus 로고
    • Learning mixed initiative dialog strategies by using reinforcement learning on both conversants
    • Vancouver Canada, October
    • M. English and P. Heeman. 2005. Learning mixed initiative dialog strategies by using reinforcement learning on both conversants. In HLT and EMNLP, pages 1011-1018, Vancouver Canada, October.
    • (2005) HLT and EMNLP , pp. 1011-1018
    • English, M.1    Heeman, P.2
  • 5
    • 33846189186 scopus 로고    scopus 로고
    • Learning user simulations for information state update dialogue systems
    • Lisbon Portugal
    • K. Georgila, J. Henderson, and O. Lemon. 2005. Learning user simulations for information state update dialogue systems. In Eurospeech, Lisbon Portugal.
    • (2005) Eurospeech
    • Georgila, K.1    Henderson, J.2    Lemon, O.3
  • 6
    • 85009087667 scopus 로고    scopus 로고
    • Information state and dialogue managementin the TRINDI dialogue move engine toolkit
    • S. Larsson and D. Traum. 2000. Information state and dialogue managementin the TRINDI dialogue move engine toolkit. Natural Language Engineering, 6:323-340.
    • (2000) Natural Language Engineering , vol.6 , pp. 323-340
    • Larsson, S.1    Traum, D.2
  • 8
    • 0010251192 scopus 로고    scopus 로고
    • Modelling grounding and discourse obligations using update rules
    • Seattle, May
    • C. Matheson, M. Poesio, and D. Traum. 2000. Modelling grounding and discourse obligations using update rules. In NAACL, Seattle, May.
    • (2000) NAACL
    • Matheson, C.1    Poesio, M.2    Traum, D.3
  • 10
    • 33846263279 scopus 로고    scopus 로고
    • Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning
    • San Diego
    • K. Scheffler and S. J. Young. 2002. Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning. In HLT, pg. 12-18, San Diego.
    • (2002) HLT , pp. 12-18
    • Scheffler, K.1    Young, S.J.2
  • 11
    • 0037841376 scopus 로고    scopus 로고
    • Optimizing dialogue management with reinforcement learning: Experiments with the NJFun system
    • S. Singh, D. Litman, M. Kearns, and M. Walker. 2002. Optimizing dialogue managment with reinforcement learning: Experiments with the NJfun system. Journal of Artificial Intelligence Research, 16:105-133. (Pubitemid 43057171)
    • (2002) Journal of Artificial Intelligence Research , vol.16 , pp. 105-133
    • Singh, S.1    Man, D.L.2    Kearns, M.3    Walker, M.4
  • 13
    • 14344279109 scopus 로고    scopus 로고
    • An application of reinforcement learning to dialog strategy selection in a spoken dialogue system for email
    • M. Walker. 2000. An application of reinforcement learning to dialog strategy selection in a spoken dialogue system for email. Journal of Artificial Intelligence Research, 12:387-416.
    • (2000) Journal of Artificial Intelligence Research , vol.12 , pp. 387-416
    • Walker, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.