DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords.

Jiajia Li|Jiming Dong|Lei Li|Yu Yang|Xin Wang|Mengxuan Zhang


Anthology ID:DBLP:conf/cikm/0003D000025
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1562-1571
URL:https://doi.org/10.1145/3746252.3761331
DOI:https://doi.org/10.1145/3746252.3761331
DBLP:conf/cikm/0003D000025
BibTeX:
@inproceedings{li-2025-efficient, author = {Jiajia Li and Jiming Dong and Lei Li and Yu Yang and Xin Wang and Mengxuan Zhang}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {1562--1571}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761331}, doi = {https://doi.org/10.1145/3746252.3761331} }