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Volumn , Issue , 2005, Pages 1011-1018

Learning mixed initiative dialog strategies by using reinforcement learning on both conversants

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 70349132784     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220575.1220702     Document Type: Conference Paper
Times cited : (35)

References (10)
  • 1
    • 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
  • 2
    • 85134670474 scopus 로고    scopus 로고
    • Finite-sample convergence rates for q-learning and indirect algorithms
    • Denver CO
    • M. Kearns and S. Singh. 1998. Finite-sample convergence rates for q-learning and indirect algorithms. In NIPS, Denver CO.
    • (1998) NIPS
    • Kearns, M.1    Singh, S.2
  • 4
    • 33846263279 scopus 로고    scopus 로고
    • Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning
    • K. Scheffler and S. J. Young. 2002. Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning. In HLT, pages 12-18.
    • (2002) HLT , pp. 12-18
    • Scheffler, K.1    Young, S.J.2
  • 5
    • 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
  • 7
    • 84990623477 scopus 로고
    • Conversation acts in task-oriented spoken dialogue
    • D. Traum and E. Hinkelman. 1992. Conversation acts in task-oriented spoken dialogue. Computational Intelligence, 8(3):575-599.
    • (1992) Computational Intelligence , vol.8 , Issue.3 , pp. 575-599
    • Traum, D.1    Hinkelman, E.2
  • 8
    • 0029293832 scopus 로고
    • Testing collaborative strategies by computational simulation: Cognitive and task effects
    • M. Walker. 1995. Testing collaborative strategies by computational simulation: Cognitive and task effects. Knowledge-Based Systems, 8:105-116.
    • (1995) Knowledge-Based Systems , vol.8 , pp. 105-116
    • Walker, M.1
  • 9
    • 14344279109 scopus 로고    scopus 로고
    • An application of reinforcement learning to dialog strategy selection in a spoken dialogue system
    • M.Walker. 2000. An application of reinforcement learning to dialog strategy selection in a spoken dialogue system. Journal of Artificial Intelligence Research.
    • (2000) Journal of Artificial Intelligence Research
    • Walker, M.1
  • 10
    • 85009080926 scopus 로고    scopus 로고
    • Using computer simulation to compare two models of mixed-initiative
    • F. Yang and P. Heeman. 2004. Using computer simulation to compare two models of mixed-initiative. In ICSLP.
    • (2004) ICSLP
    • Yang, F.1    Heeman, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.