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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:

Safe multi-agent reinforcement learning for multi-robot control
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, et al.
Artificial Intelligence (2023) Vol. 319, pp. 103905-103905
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Learning safe control for multi-robot systems: Methods, verification, and open challenges
Kunal Garg, Songyuan Zhang, Oswin So, et al.
Annual Reviews in Control (2024) Vol. 57, pp. 100948-100948
Open Access | Times Cited: 10
Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning
Xiaoru Zhao, Rennong Yang, Liangsheng Zhong, et al.
Drones (2024) Vol. 8, Iss. 1, pp. 18-18
Open Access | Times Cited: 9
Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach
Yifeng Lyu, Han Hu, Rongfei Fan, et al.
IEEE Journal on Selected Areas in Communications (2024) Vol. 42, Iss. 5, pp. 1204-1218
Open Access | Times Cited: 6
Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation
Yuxin Li, Xinyu Li, Liang Gao, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102834-102834
Closed Access | Times Cited: 5
Energy management based on safe multi-agent reinforcement learning for smart buildings in distribution networks
Yiyun Sun, Senlin Zhang, Meiqin Liu, et al.
Energy and Buildings (2024) Vol. 318, pp. 114410-114410
Closed Access | Times Cited: 4
Safe deep reinforcement learning for flow control within the Internet of Vehicles
Anas Knari, Mohammed-Amine Koulali, Ahmed Khoumsi
Expert Systems with Applications (2025), pp. 126437-126437
Closed Access
Incremental model-based reinforcement learning with model constraint
Zhiyou Yang, Mingsheng Fu, Hong Qu, et al.
Neural Networks (2025) Vol. 185, pp. 107245-107245
Closed Access
Knowledge-based real-time scheduling for gas supply network using cooperative multi-agent reinforcement learning and predictive functional range control
Pengwei Zhou, Zuhua Xu, Jiakun Fang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110206-110206
Closed Access
Dynamic subtask representation and assignment in cooperative multi-agent tasks
Chenlong You, Yingbo Wu, Junpeng Cai, et al.
Neurocomputing (2025), pp. 129535-129535
Closed Access
Constraining an Unconstrained Multi-agent Policy with offline data
Cong Guan, Tao Jiang, Yi-Chen Li, et al.
Neural Networks (2025) Vol. 186, pp. 107253-107253
Closed Access
A Multitask-Based Transfer Framework for Cooperative Multi-Agent Reinforcement Learning
Chengyu Hu, C.P. Wang, Wei Luo, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2216-2216
Open Access
Real-time scheduling for production-logistics collaborative environment using multi-agent deep reinforcement learning
Yuxin Li, Xinyu Li, Liang Gao
Advanced Engineering Informatics (2025) Vol. 65, pp. 103216-103216
Closed Access
Intelligent games meeting with multi-agent deep reinforcement learning: a comprehensive review
Yiqin Wang, Yufeng Wang, Feng Tian, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
NLBAC: A neural ODE-based algorithm for state-wise stable and safe reinforcement learning
Liqun Zhao, Keyan Miao, Hongpeng Cao, et al.
Neurocomputing (2025), pp. 130041-130041
Open Access
A human-centered safe robot reinforcement learning framework with interactive behaviors
Shangding Gu, Alap Kshirsagar, Yali Du, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 7
Navigation Based on Hybrid Decentralized and Centralized Training and Execution Strategy for Multiple Mobile Robots Reinforcement Learning
Yanyan Dai, Deokgyu Kim, Ki-Dong Lee
Electronics (2024) Vol. 13, Iss. 15, pp. 2927-2927
Open Access | Times Cited: 2
An intelligent quality prediction and autonomous decision system for natural products manufacturing processes
Qilong Xue, Yang Yu, Shixin Cen, et al.
Computers & Industrial Engineering (2024) Vol. 191, pp. 110143-110143
Closed Access | Times Cited: 1
Exoatmospheric Evasion Guidance Law with Total Energy Limit via Constrained Reinforcement Learning
Mengda Yan, Rennong Yang, Yu Zhao, et al.
International Journal of Aeronautical and Space Sciences (2024) Vol. 25, Iss. 4, pp. 1361-1379
Open Access | Times Cited: 1
Runtime Verification-Based Safe MARL for Optimized Safety Policy Generation for Multi-Robot Systems
Yang Liu, Jiankun Li
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 5, pp. 49-49
Open Access | Times Cited: 1
A Multi-Agent System Empowered by Federated Learning and Genetic Programming
Luís Gomes, Bruno Ribeiro, Fernando Lezama, et al.
(2023)
Closed Access | Times Cited: 2
Energy Management Based on Safe Multi-Agent Reinforcement Learning for Smart Multi-Energy Buildings in Distribution Networks
Yiyun Sun, Senlin Zhang, Meiqin Liu, et al.
(2024)
Closed Access
Learning Agents in Robot Navigation: Trends and Next Challenges
Fumito Uwano
Journal of Robotics and Mechatronics (2024) Vol. 36, Iss. 3, pp. 508-516
Open Access
Phased Continuous Exploration Method for Cooperative Multi-Agent Reinforcement Learning
Jie Kang, Yaqing Hou, Yifeng Zeng, et al.
(2024), pp. 1086-1091
Closed Access
Online Control Parameter Optimization Design for Multi-Machine Coordinated Loading System of Hazardous Substances
Zuoxun Wang, Chuanyu Cui, Jinxue Sui, et al.
ISA Transactions (2024)
Open Access
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
Shangding Gu, Bilgehan Sel, Yuhao Ding, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 19, pp. 21099-21106
Open Access
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