JOURNAL ARTICLE

Deep Multi-agent Reinforcement Learning for Efficient and Scalable Networked System Control

Chen, Dong

Year: 2024 Journal:   Michigan State University Libraries
Keywords:
Reinforcement learning Control system Scalability Control (management) Stability (learning theory) Artificial neural network

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Species Distribution and Climate Change
Physical Sciences →  Environmental Science →  Ecological Modeling
Research Data Management Practices
Physical Sciences →  Computer Science →  Information Systems
Genomics and Phylogenetic Studies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

Related Documents

JOURNAL ARTICLE

Deep Multi-agent Reinforcement Learning for Efficient and Scalable Networked System Control

Chen, Dong

Journal:   Michigan State University Libraries Year: 2023
JOURNAL ARTICLE

PowerNet: Multi-Agent Deep Reinforcement Learning for Scalable Powergrid Control

Dong ChenKaian ChenZhaojian LiTianshu ChuRui YaoFeng QiuKaixiang Lin

Journal:   IEEE Transactions on Power Systems Year: 2021 Vol: 37 (2)Pages: 1007-1017
JOURNAL ARTICLE

Scalable Reinforcement Learning Policies for Multi-Agent Control

Christopher D. HsuHeejin JeongGeorge J. PappasPratik Chaudhari

Journal:   2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Year: 2021 Pages: 4785-4791
JOURNAL ARTICLE

Efficient evolutionary curriculum learning for scalable multi-agent reinforcement learning

Chao LiYanfei LiuJieling WangZhong WangChengjin WangQi Tian

Journal:   Journal of King Saud University - Computer and Information Sciences Year: 2025 Vol: 37 (8)
© 2026 ScienceGate Book Chapters — All rights reserved.