Learning Mixed Initiative Dialog Strategies By Using Reinforcement Learning On Both Conversants

Michael English, Peter Heeman


Anthology ID:
H05-1127
Volume:
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2005
Address:
Vancouver, British Columbia, Canada
Editors:
Raymond Mooney, Chris Brew, Lee-Feng Chien, Katrin Kirchhoff
Venues:
HLT | EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1011–1018
Language:
URL:
https://aclanthology.org/H05-1127
DOI:
Bibkey:
Cite (ACL):
Michael English and Peter Heeman. 2005. Learning Mixed Initiative Dialog Strategies By Using Reinforcement Learning On Both Conversants. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 1011–1018, Vancouver, British Columbia, Canada. Association for Computational Linguistics.
Cite (Informal):
Learning Mixed Initiative Dialog Strategies By Using Reinforcement Learning On Both Conversants (English & Heeman, HLT-EMNLP 2005)
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PDF:
https://aclanthology.org/H05-1127.pdf