Dialogue strategy optimization with reinforcement learning in an AT&T call routing application

AAAI Workshop - Technical Report

Volumn WS-06-14, Issue , 2006, Pages 31-36

  Lewis, Charles ^a   Di Fabbrizio, Giuseppe ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; COMPUTER SIMULATION; OPTIMIZATION; ROUTING ALGORITHMS; SPEECH PROCESSING;

CALL ROUTING APPLICATION; REINFORCEMENT LEARNING (RL) ALGORITHMS; SPOKEN DIALOGUE SYSTEMS (SDS);

REINFORCEMENT LEARNING;

EID: 33847665535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. L.P. Kaelbling, M.L. Littman, "Reinforcement Learning: A Survey," Journal of Artificial Intelligence Research 4, May 1996, 237-285
3. E. Levin, R. Pieraccini, and W. Eckert, "A Stochastic Model of Human-Machine Interaction for Learning Dialog Strategies," IEEE Transactions on Speech and Audio Processing, Vol. 8 No. 1, January 2000
4. Litman, M. Walker, and M. Kearns, "Automatic Detection of Poor Speech Recognition at the Dialogue Level," ACL-1999
5. Mitchell, T., Machine Learning, McGraw-Hill, 1997.
6. S. Singh, M. Kearns, D. Litman, and M. Walker, "Reinforcement Learning for Spoken Dialogue Systems," NIPS-1999
7. S. Singh, D. Litman, M. Kearns, and M. Walker, "Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System," Journal of Artificial Intelligence Researchl 16 (2002), 105-133
8. Learning: Experiments with the NJFun System," Journal of Artificial Intelligence Research 16 (2002), 105-133
9. Sutton, R. S. and Barto, A. G., Reinforcement Learning: An Introduction, MIT Press, Cambridge, MA, 1998
10. Walker, I. Langkilde, J. Wright, A. Gorin, and D. Litman, "Learning to Predict Problematic Situations in a Spoken Dialogue System: Experiments with How May I Help You?" In Proc. 1st Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2000.