DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning.
Aurélien Personnaz|Sihem Amer-Yahia|Laure Berti-Équille|Maximilian Fabricius|Srividya Subramanian
| Anthology ID: | DBLP:conf/cikm/PersonnazABFS21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4769-4773 |
| URL: | https://doi.org/10.1145/3459637.3481967 |
| DOI: | https://doi.org/10.1145/3459637.3481967 |
| DBLP: | conf/cikm/PersonnazABFS21 |
| BibTeX: |
@inproceedings{personnaz-2021-dora,
author = {Aur\'{e}lien Personnaz and
Sihem Amer-Yahia and
Laure Berti-\'{E}quille and
Maximilian Fabricius and
Srividya Subramanian},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {4769--4773},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3481967},
doi = {https://doi.org/10.1145/3459637.3481967}
}