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;Intelligent Virtual Agents; | |
| 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 |
or see it here
@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;Intelligent Virtual Agents;}, 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} } |
hide this content
