gaips_bea image1 image2 image3 image4 image5 gaips_ecute_beach_bar_banner gaips_ecute_train_incorrect_ticket_banner
Online Learning for Conversational Agents


Abstract Agents relying on large collections of interactions face the challenge of choosing an appropriate answer from such collections. Several works address this challenge by using offline learning approaches, which do not take advantage of how user-agent conversations unfold.
Year 2017
Keywords Reinforcement Learning;Miscellaneous;
Authors Vânia Mendonça, Francisco S. Melo, Luísa Coheur, Alberto Sardinha
Booktitle Progress in Artificial Intelligence
Pages 739--750
Publisher Springer International Publishing
Pdf File
BibTex bib icon or see it here down icon

@inproceedings { mendonça17, abstract = {Agents relying on large collections of interactions face the challenge of choosing an appropriate answer from such collections. Several works address this challenge by using offline learning approaches, which do not take advantage of how user-agent conversations unfold.}, address = {Cham}, booktitle = {Progress in Artificial Intelligence}, keywords = {Reinforcement Learning;Miscellaneous;}, pages = {739--750}, publisher = {Springer International Publishing}, title = {Online Learning for Conversational Agents}, year = {2017}, author = {Vânia Mendonça and Francisco S. Melo and Luísa Coheur and Alberto Sardinha} }

up icon hide this content