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Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies

Kallirroi Georgila, Claire Nelson, David Traum


Anthology ID:
P14-1047
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
500–510
Language:
URL:
https://aclanthology.org/P14-1047
DOI:
10.3115/v1/P14-1047
Bibkey:
Cite (ACL):
Kallirroi Georgila, Claire Nelson, and David Traum. 2014. Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 500–510, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies (Georgila et al., ACL 2014)
Copy Citation:
PDF:
https://aclanthology.org/P14-1047.pdf