OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Reinforcement Learning Enhances the Experts
Qianyue Hao, Wenzhen Huang, Fengli Xu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4684-4694
Closed Access | Times Cited: 8
Qianyue Hao, Wenzhen Huang, Fengli Xu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4684-4694
Closed Access | Times Cited: 8
Showing 8 citing articles:
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Yang Ye, Abhishek Pandey, Carolyn E. Bawden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
GCRL: Efficient Delivery Area Assignment for Last-mile Logistics with Group-based Cooperative Reinforcement Learning
Hai Wang, Shuai Wang, Yu Yang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 3522-3534
Closed Access | Times Cited: 5
Hai Wang, Shuai Wang, Yu Yang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 3522-3534
Closed Access | Times Cited: 5
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
Qianyue Hao, Wenzhen Huang, Tao Feng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 685-697
Closed Access | Times Cited: 5
Qianyue Hao, Wenzhen Huang, Tao Feng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 685-697
Closed Access | Times Cited: 5
Deep-reinforcement-learning-based optimization for intra-urban epidemic control considering spatiotemporal orderliness
Xuan Li, Ling Yin, Kang Liu, et al.
International Journal of Geographical Information Science (2024), pp. 1-26
Open Access | Times Cited: 1
Xuan Li, Ling Yin, Kang Liu, et al.
International Journal of Geographical Information Science (2024), pp. 1-26
Open Access | Times Cited: 1
A guided twin delayed deep deterministic reinforcement learning for vaccine allocation in human contact networks
Ehsan Ardjmand, Alireza Fallahtafti, Ehsan Yazdani, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112322-112322
Open Access
Ehsan Ardjmand, Alireza Fallahtafti, Ehsan Yazdani, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112322-112322
Open Access
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation
Jingwei Wang, Qianyue Hao, Wenzhen Huang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3128-3139
Open Access
Jingwei Wang, Qianyue Hao, Wenzhen Huang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3128-3139
Open Access
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare
Yu Zheng, Qianyue Hao, Jingwei Wang, et al.
ACM Computing Surveys (2024)
Open Access
Yu Zheng, Qianyue Hao, Jingwei Wang, et al.
ACM Computing Surveys (2024)
Open Access
Using Reinforcement Learning for Optimizing COVID-19 Vaccine Distribution Strategies
Robertas Damaševičius, Rytis Maskeliūnas, Sanjay Misra
Springer optimization and its applications (2023), pp. 169-196
Closed Access
Robertas Damaševičius, Rytis Maskeliūnas, Sanjay Misra
Springer optimization and its applications (2023), pp. 169-196
Closed Access
