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:
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning
Jian Hu, Siyang Jiang, Seth Austin Harding, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 28
Jian Hu, Siyang Jiang, Seth Austin Harding, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 28
Showing 1-25 of 28 citing articles:
Multi-Agent Deep Reinforcement Learning for Cooperative Computing Offloading and Route Optimization in Multi Cloud-Edge Networks
Akito Suzuki, Masahiro Kobayashi, Eiji Oki
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 4416-4434
Open Access | Times Cited: 12
Akito Suzuki, Masahiro Kobayashi, Eiji Oki
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 4416-4434
Open Access | Times Cited: 12
Joint Cooperative Computation Offloading and Trajectory Optimization in Heterogeneous UAV-Swarm-Enabled Aerial Edge Computing Networks
Hanqing Yu, Supeng Leng, Fan Wu
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 17700-17711
Closed Access | Times Cited: 4
Hanqing Yu, Supeng Leng, Fan Wu
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 17700-17711
Closed Access | Times Cited: 4
Learning general multi-agent decision model through multi-task pre-training
Jiawei Wang, Lele Xu, Changyin Sun
Neurocomputing (2025), pp. 129524-129524
Closed Access
Jiawei Wang, Lele Xu, Changyin Sun
Neurocomputing (2025), pp. 129524-129524
Closed Access
A cooperative jamming decision-making method based on multi-agent reinforcement learning
Bin Cai, Haoran Li, Naimin Zhang, et al.
Autonomous Intelligent Systems (2025) Vol. 5, Iss. 1
Open Access
Bin Cai, Haoran Li, Naimin Zhang, et al.
Autonomous Intelligent Systems (2025) Vol. 5, Iss. 1
Open Access
Policy distillation for efficient decentralized execution in multi-agent reinforcement learning
Yuhang Pei, Tao Ren, Yuxiang Zhang, et al.
Neurocomputing (2025), pp. 129617-129617
Closed Access
Yuhang Pei, Tao Ren, Yuxiang Zhang, et al.
Neurocomputing (2025), pp. 129617-129617
Closed Access
Multi-agent reinforcement learning system framework based on topological networks in Fourier space
Licheng Sun, Ao Ding, Hongbin Ma
Applied Soft Computing (2025), pp. 112986-112986
Closed Access
Licheng Sun, Ao Ding, Hongbin Ma
Applied Soft Computing (2025), pp. 112986-112986
Closed Access
LLM-guided decision-making toolkit for multi-agent reinforcement learning
Yiqin Lv, Ruobing Zhang, Zhengming Wang, et al.
Neurocomputing (2025), pp. 130105-130105
Closed Access
Yiqin Lv, Ruobing Zhang, Zhengming Wang, et al.
Neurocomputing (2025), pp. 130105-130105
Closed Access
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
Tianmeng Hu, Biao Luo, Chunhua Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 10, pp. 12098-12112
Closed Access | Times Cited: 9
Tianmeng Hu, Biao Luo, Chunhua Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 10, pp. 12098-12112
Closed Access | Times Cited: 9
LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning
Zihan Chen, Biao Luo, Tianmeng Hu, et al.
Neural Networks (2023) Vol. 167, pp. 450-459
Closed Access | Times Cited: 8
Zihan Chen, Biao Luo, Tianmeng Hu, et al.
Neural Networks (2023) Vol. 167, pp. 450-459
Closed Access | Times Cited: 8
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
Wei Ding, Siyang Jiang, Hsi-Wen Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7387-7395
Open Access | Times Cited: 4
Wei Ding, Siyang Jiang, Hsi-Wen Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7387-7395
Open Access | Times Cited: 4
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li, Hanhan Zhou, Yifei Zou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 17461-17468
Open Access | Times Cited: 1
Huiqun Li, Hanhan Zhou, Yifei Zou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 17461-17468
Open Access | Times Cited: 1
QTypeMix: Enhancing multi-agent cooperative strategies through heterogeneous and homogeneous value decomposition
Songchen Fu, Shaojing Zhao, Li Ta, et al.
Neural Networks (2024) Vol. 184, pp. 107093-107093
Open Access | Times Cited: 1
Songchen Fu, Shaojing Zhao, Li Ta, et al.
Neural Networks (2024) Vol. 184, pp. 107093-107093
Open Access | Times Cited: 1
Learning Multi-Agent Cooperation via Considering Actions of Teammates
Shanqi Liu, Weiwei Liu, Wenzhou Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11553-11564
Closed Access | Times Cited: 3
Shanqi Liu, Weiwei Liu, Wenzhou Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11553-11564
Closed Access | Times Cited: 3
An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control
Delin Guo, Lan Tang, Xinggan Zhang, et al.
Neural Networks (2023) Vol. 170, pp. 610-621
Closed Access | Times Cited: 3
Delin Guo, Lan Tang, Xinggan Zhang, et al.
Neural Networks (2023) Vol. 170, pp. 610-621
Closed Access | Times Cited: 3
Full Communication Memory Networks for Team-Level Cooperation Learning
Yutong Wang, Yizhuo Wang, Guillaume Sartoretti
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Yutong Wang, Yizhuo Wang, Guillaume Sartoretti
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Timar: Transition-Informed Representation for Sample-Efficient Multi-Agent Reinforcement Learning
Mingxiao Feng, Yaodong Yang, Wengang Zhou, et al.
(2024)
Closed Access
Mingxiao Feng, Yaodong Yang, Wengang Zhou, et al.
(2024)
Closed Access
Multi-Agent Transformer Networks With Graph Attention
Woobeen Jin, Hyukjoon Lee
IEEE Access (2024) Vol. 12, pp. 144982-144991
Open Access
Woobeen Jin, Hyukjoon Lee
IEEE Access (2024) Vol. 12, pp. 144982-144991
Open Access
Cooperative Task Offloading for Multi-Access Edge-Cloud Networks: A Multi-Group Multi-Agent Deep Reinforcement Learning
Akito Suzuki, Masahiro Kobayashi, Eiji Oki
(2024), pp. 1-9
Closed Access
Akito Suzuki, Masahiro Kobayashi, Eiji Oki
(2024), pp. 1-9
Closed Access
APC: Predict Global Representation From Local Observation In Multi-Agent Reinforcement Learning
Xiaoyang Li, Guohua Yang, Dawei Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1998, pp. 1-8
Closed Access
Xiaoyang Li, Guohua Yang, Dawei Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1998, pp. 1-8
Closed Access
Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation
Xuyan Ma, Yawen Wang, Junjie Wang, et al.
(2024) Vol. 3, pp. 1491-1503
Closed Access
Xuyan Ma, Yawen Wang, Junjie Wang, et al.
(2024) Vol. 3, pp. 1491-1503
Closed Access
Diversity-Oriented Testing for Competitive Game Agent via Constraint-Guided Adversarial Agent Training
Xuyan Ma, Yawen Wang, Junjie Wang, et al.
IEEE Transactions on Software Engineering (2024) Vol. 51, Iss. 1, pp. 66-81
Closed Access
Xuyan Ma, Yawen Wang, Junjie Wang, et al.
IEEE Transactions on Software Engineering (2024) Vol. 51, Iss. 1, pp. 66-81
Closed Access
TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning
Mingxiao Feng, Yaodong Yang, Wengang Zhou, et al.
Neural Networks (2024) Vol. 184, pp. 107081-107081
Closed Access
Mingxiao Feng, Yaodong Yang, Wengang Zhou, et al.
Neural Networks (2024) Vol. 184, pp. 107081-107081
Closed Access
Multi-agent Decision-making at Unsignalized Intersections with Reinforcement Learning from Demonstrations
Chang Huang, Junqiao Zhao, Hongtu Zhou, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2023), pp. 1-6
Closed Access | Times Cited: 1
Chang Huang, Junqiao Zhao, Hongtu Zhou, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2023), pp. 1-6
Closed Access | Times Cited: 1
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Xiaoyang Yu, Youfang Lin, Xiangsen Wang, et al.
arXiv (Cornell University) (2023)
Open Access
Xiaoyang Yu, Youfang Lin, Xiangsen Wang, et al.
arXiv (Cornell University) (2023)
Open Access
TLMIX: Twin Leader Mixing Network for Cooperative Multi-Agent Reinforcement Learning
Yu Zhang, Pengyu Gao, Zhe Wu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access
Yu Zhang, Pengyu Gao, Zhe Wu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access
