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OpenAlex Citation Counts

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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:

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Deheng Ye, Zhao Liu, Mingfei Sun, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 04, pp. 6672-6679
Open Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms
Sheng‐Yi Huang, Santiago Ontañón
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference (2022) Vol. 35
Open Access | Times Cited: 210
Urban Traffic Control in Software Defined Internet of Things via a Multi-Agent Deep Reinforcement Learning Approach
Jiachen Yang, Jipeng Zhang, Huihui Wang
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 6, pp. 3742-3754
Open Access | Times Cited: 117
Federated Multiagent Actor–Critic Learning for Age Sensitive Mobile-Edge Computing
Zheqi Zhu, Shuo Wan, Pingyi Fan, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 2, pp. 1053-1067
Open Access | Times Cited: 102
Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey
Yang Xiao, Jun Liu, Jiawei Wu, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 4, pp. 2064-2097
Closed Access | Times Cited: 77
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
2021 IEEE Conference on Games (CoG) (2020), pp. 479-486
Open Access | Times Cited: 71
Attacking Deep Reinforcement Learning With Decoupled Adversarial Policy
Kanghua Mo, Weixuan Tang, Jin Li, et al.
IEEE Transactions on Dependable and Secure Computing (2022) Vol. 20, Iss. 1, pp. 758-768
Closed Access | Times Cited: 65
Reinforcement-Learning-Based Vibration Control for a Vehicle Semi-Active Suspension System via the PPO Approach
Shiyuan Han, Tong Liang
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 3078-3078
Open Access | Times Cited: 41
Reinforcement Learning Meets Network Intrusion Detection: A Transferable and Adaptable Framework for Anomaly Behavior Identification
Mingshu He, Xiaojuan Wang, Wei Peng, et al.
IEEE Transactions on Network and Service Management (2024) Vol. 21, Iss. 2, pp. 2477-2492
Closed Access | Times Cited: 11
A survey of decision making in adversarial games
Xiuxian Li, Min Meng, Yiguang Hong, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 4
Closed Access | Times Cited: 10
Reinforcement Learning Based Soccer Kicking for Humanoid Robots
Bo Yan, Haier Zhu, Xiu Li, et al.
Lecture notes in networks and systems (2025), pp. 203-212
Closed Access | Times Cited: 1
Autonomous Penetration Testing Based on Improved Deep Q-Network
Shicheng Zhou, Jingju Liu, Dongdong Hou, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 8823-8823
Open Access | Times Cited: 49
Learning Tailored Adaptive Bitrate Algorithms to Heterogeneous Network Conditions: A Domain-Specific Priors and Meta-Reinforcement Learning Approach
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, et al.
IEEE Journal on Selected Areas in Communications (2022) Vol. 40, Iss. 8, pp. 2485-2503
Closed Access | Times Cited: 36
DQ-GAT: Towards Safe and Efficient Autonomous Driving With Deep Q-Learning and Graph Attention Networks
Peide Cai, Hengli Wang, Yuxiang Sun, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 11, pp. 21102-21112
Open Access | Times Cited: 33
CASVA: Configuration-Adaptive Streaming for Live Video Analytics
Miao Zhang, Fangxin Wang, Jiangchuan Liu
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2022)
Closed Access | Times Cited: 29
Reinforcement Learning in Game Industry—Review, Prospects and Challenges
Konstantinos Souchleris, George Sidiropoulos, George A. Papakostas
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2443-2443
Open Access | Times Cited: 21
AI in Human-computer Gaming: Techniques, Challenges and Opportunities
Qiyue Yin, Jun Yang, Kaiqi Huang, et al.
Deleted Journal (2023) Vol. 20, Iss. 3, pp. 299-317
Open Access | Times Cited: 19
Deep Reinforcement Learning for Multi-Objective Resource Allocation in Multi-Platoon Cooperative Vehicular Networks
Yuanyuan Xu, Kun Zhu, Hu Xu, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 22, Iss. 9, pp. 6185-6198
Closed Access | Times Cited: 18
Proximal policy optimization via enhanced exploration efficiency
Zhang Junwei, H. H. Zhang, Shuai D. Han, et al.
Information Sciences (2022) Vol. 609, pp. 750-765
Open Access | Times Cited: 27
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach
Jin Wang, Jia Hu, Geyong Min, et al.
IEEE Transactions on Mobile Computing (2022), pp. 1-14
Open Access | Times Cited: 27
Interpretable Real-Time Win Prediction for Honor of Kings—A Popular Mobile MOBA Esport
Zelong Yang, Zhufeng Pan, Yan Wang, et al.
IEEE Transactions on Games (2022) Vol. 14, Iss. 4, pp. 589-597
Open Access | Times Cited: 25
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning
Enmin Zhao, Renye Yan, Jinqiu Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4689-4697
Open Access | Times Cited: 24
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Deheng Ye, Gui-Bin Chen, Peilin Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 3, pp. 908-918
Open Access | Times Cited: 39
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma, et al.
(2021)
Closed Access | Times Cited: 30
Explainable AI for Cheating Detection and Churn Prediction in Online Games
Jianrong Tao, Yu Xiong, Shiwei Zhao, et al.
IEEE Transactions on Games (2022) Vol. 15, Iss. 2, pp. 242-251
Closed Access | Times Cited: 21
Deep Reinforcement Learning for Intelligent Dual-UAV Reconnaissance Mission Planning
Xiaoru Zhao, Rennong Yang, Ying Zhang, et al.
Electronics (2022) Vol. 11, Iss. 13, pp. 2031-2031
Open Access | Times Cited: 20
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