The best of both worlds: unifying conventional dialog systems and POMDPs
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[1] Hui Ye,et al. The Hidden Information State Approach to Dialog Management , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[2] Steve J. Young,et al. Partially observable Markov decision processes for spoken dialog systems , 2007, Comput. Speech Lang..
[3] Jennifer Balogh,et al. Voice User Interface Design , 2004 .
[4] Jason D. Williams,et al. Using particle filters to track dialogue state , 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).
[5] S. Young,et al. Scaling POMDPs for Spoken Dialog Management , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[6] S. Singh,et al. Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System , 2011, J. Artif. Intell. Res..
[7] Peter A. Heeman. Combining Reinformation Learning with Information-State Update Rules , 2007, HLT-NAACL.
[8] James A. Larson,et al. Voice User Interface Design for Novice and Experienced Users , 2004 .
[9] Peter A. Heeman. Combining Reinforcement Learning with Information-State Update Rules ∗ , 2007 .