Sniffer Channel Selection Based on Value Decomposition Networks in CRNs

Authors: Chen, L., Xia, N., Li, M., Wang, Y., Wan, J., Wei, S., Liu, X.

Source: IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 12(20):42184-42197 Oct, 2025

Centralized Multi-Agent SOC Control for Battery Health Using Proximal Policy Optimization in EVs

Authors: Lotfy, A., Alzayed, M., Chaoui, H., Boulon, L.

Source: IEEE Transactions on Vehicular Technology IEEE Trans. Veh. Technol. Vehicular Technology, IEEE Transactions on. 74(10):15575-15588 Oct, 2025

Cognition-Oriented Multiagent Reinforcement Learning

Authors: Qiu, T., Wu, S., Liu, Z., Pu, Z., Yi, J., Zhao, Y., Luo, B.

Source: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 36(6):10736-10748 Jun, 2025

Advanced Taxiing Path Guidance Using Multi-Agent Reinforcement Learning for Air Traffic Management

Authors: Lee, Sungjoon, Kim, Gyu Seon, Park, Soohyun, Kim, Joongheon

Source: 2024 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2024 22nd International Symposium on. :305-312 Oct, 2024

Relation: 2024 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

A Survey of Multi-Agent Reinforcement Learning for Cooperative Control in Multi-AUV Systems

Authors: Wibisono, A., Song, H., Lee, B.M.

Source: IEEE Access Access, IEEE. 13:161505-161528 2025

Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL

Authors: Hu, Y., Chen, M., Sun, H., Wang, Y., Cang, Y.

Source: IEEE Access Access, IEEE. 13:118933-118943 2025

Robust Reward-Free Actor–Critic for Cooperative Multiagent Reinforcement Learning

Authors: Lin, Q., Ling, Q.

Source: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 35(12):17318-17329 Dec, 2024

Information- Theoretic Multi-Agent Algorithm Based on the CTDE Framework

Authors: Liu, Xiangyu, Jin, Bo

Source: 2024 9th International Conference on Electronic Technology and Information Science (ICETIS) Electronic Technology and Information Science (ICETIS), 2024 9th International Conference on. :511-516 May, 2024

Relation: 2024 9th International Conference on Electronic Technology and Information Science (ICETIS)

Multi-agent Control of UAVs Using Deep Reinforcement Learning

Authors: Ihnat Myroshychenko

Source: Electronics and Control Systems; Vol. 2 No. 84 (2025); 15-20
Электроника и системы управления; Том 2 № 84 (2025); 15-20
Електроніка та системи управління; Том 2 № 84 (2025); 15-20

Subject Terms: deep reinforcement learning, multi-agent deep reinforcement learning, уникнення перешкод, централізоване навчання з децентралізованим виконанням, рій безпілотних літальних апаратів, MADRL, centralized training with decentralized execution, obstacle avoidance, unmanned aerial vehicle swarm, drone coordination, багатoагентні системи, глибоке навчання з підкріпленням, multi-agent systems, координація дронів

File Description: application/pdf

Access URL: https://jrnl.nau.edu.ua/index.php/ESU/article/view/20187

Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic

Authors: Chen, Renlong, Tan, Ying

Source: 2023 IEEE Congress on Evolutionary Computation (CEC) Evolutionary Computation (CEC), 2023 IEEE Congress on. :1-9 Jul, 2023

Relation: 2023 IEEE Congress on Evolutionary Computation (CEC)

Privacy Preserving Demand Side Management Method via Multi-Agent Reinforcement Learning

Authors: Zhang, Feiye, Yang, Qingyu, An, Dou

Source: IEEE/CAA Journal of Automatica Sinica IEEE/CAA J. Autom. Sinica Automatica Sinica, IEEE/CAA Journal of. 10(10):1984-1999 Oct, 2023

A Comprehensive Survey of Multi-Agent Reinforcement Learning: Advances, Benchmarks, and Open Challenges (2020–2025)

Authors: Torabi Goudarzi, Hojjat, Torabi Goodarzi, Arash

Subject Terms: MARL, Offline Reinforcement Learning, Benchmarks, Population-Based Methods, Reinforcement Learning, Multi-Agent Reinforcement Learning, Reproducibility, Communication and Coordination, Machine Learning, Centralized Training and Decentralized Execution (CTDE), Artificial Intelligence, Value Decomposition, Actor–Critic, Survey

Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search

Authors: Guo, H., Liu, Z., Shi, R., Yau, W., Rus, D.

Source: IEEE Transactions on Robotics IEEE Trans. Robot. Robotics, IEEE Transactions on. 39(4):2569-2584 Aug, 2023

Agent Clustering and Information Sharing Underlying MADRQN for Traffic Light Cooperative Control

Authors: Cheng, Haoran^Aff14, Wang, Bo^Aff14, Liu, Jie^Aff14, Du, Tongchun^{Aff14, Aff15}

Contributors: Goos, Gerhard, Series Editor^{Aff1, Aff3}, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff4, Gao, Wen, Editorial Board Member^Aff5, Steffen, Bernhard, Editorial Board Member^Aff6, Yung, Moti, Editorial Board Member^Aff7, Mahmud, Mufti, editor^Aff8, Doborjeh, Maryam, editor^Aff9, Wong, Kevin, editor^Aff10, Leung, Andrew Chi Sing, editor^Aff11, Doborjeh, Zohreh, editor^Aff12, Tanveer, M., editor^Aff13

Source: Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part XI. 15296:227-242

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios

Authors: Chai, J., Li, W., Zhu, Y., Zhao, D., Ma, Z., Sun, K., Ding, J.

Source: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 34(4):2093-2104 Apr, 2023

Sequence value decomposition transformer for cooperative multi-agent reinforcement learning

Authors: Zhao, Zhitong ^{a, b}, Zhang, Ya ^{a, ⁎}, Chen, Wenyu ^c, Zhang, Fan ^d, Wang, Siying ^c, Zhou, Yang ^c

Source: In Information Sciences December 2025 720

Factorizing value function with hierarchical residual Q-network in multi-agent reinforcement learning

Authors: Gao, Fang ^a, Cai, Yunxiang ^a, Yao, Haotian ^a, Li, Shaodong ^a, Gao, Qing ^b, Yin, Linfei ^{a, ⁎}

Source: In Neurocomputing 28 November 2025 655

Multi-Agent Deep Reinforcement Learning for Collision-Free Posture Control of Multi-Manipulators in Shared Workspaces

Authors: Hoyeon Lee, Chenglong Luo, Hoeryong Jung

Source: Sensors, Vol 25, Iss 22, p 6822 (2025)

Subject Terms: multi-manipulator systems, shared workspace environment, collision avoidance, multi-agent deep reinforcement learning, centralized training and decentralized execution, motion planning, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/22/6822; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/5b606a1169f94312a6c1e1c35ca56fcd

Multi-agent reinforcement learning-based method for demand response of building HVAC systems

Authors: Zhang, Yiwen ^a, Zhao, Yang ^{a, b, ⁎}, Zhang, Chaobo ^c, Feng, Chenxin ^a

Source: In Journal of Building Engineering 15 August 2025 108

MCGA: An effective method for enhancing multi-agent coordination to boost performance in the real-time strategy game

Authors: Yang, Songling ^a, Hou, Yonghong ^a, Ren, Yi ^{b, ⁎}, Ding, Wang ^a

Source: In Entertainment Computing June 2025 54