DE-DQN: A Dual-Embedding Based Deep Q-Network for Task Assignment Problem in Spatial Crowdsourcing

Published in The 6th Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM, CCF-C, Best Paper Award), 2022

Recommended citation: Yucen Gao, Dejun Kong, Haipeng Dai, Xiaofeng Gao, Jiaqi Zheng, Fan Wu, Guihai Chen, DE-DQN: A Dual-Embedding Based Deep Q-Network for Task Assignment Problem in Spatial Crowdsourcing, The 6th Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM), Nanjing, China, November 25-27, 2022. http://djkong1998.github.io/files/APWeb-WAIM 2022_DE-DQN_A Dual-Embedding Based Deep Q-Network for Task Assignment Problem in Spatial Crowdsourcing.pdf