Yucen Gao, Dejun Kong, Haipeng Dai, Xiaofeng Gao 0001, Jiaqi Zheng, Fan Wu 0006, Guihai Chen. DE-DQN: A Dual-Embedding Based Deep Q-Network for Task Assignment Problem in Spatial Crowdsourcing. In Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa, editors, Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I. Volume 13421 of Lecture Notes in Computer Science, pages 280-295, Springer, 2022. [doi]
@inproceedings{GaoKDGZWC22,
title = {DE-DQN: A Dual-Embedding Based Deep Q-Network for Task Assignment Problem in Spatial Crowdsourcing},
author = {Yucen Gao and Dejun Kong and Haipeng Dai and Xiaofeng Gao 0001 and Jiaqi Zheng and Fan Wu 0006 and Guihai Chen},
year = {2022},
doi = {10.1007/978-3-031-25158-0_22},
url = {https://doi.org/10.1007/978-3-031-25158-0_22},
researchr = {https://researchr.org/publication/GaoKDGZWC22},
cites = {0},
citedby = {0},
pages = {280-295},
booktitle = {Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I},
editor = {Bohan Li and Lin Yue and Chuanqi Tao and Xuming Han and Diego Calvanese and Toshiyuki Amagasa},
volume = {13421},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-25158-0},
}