Výsledky vyhledávání - "Multi-agent deep reinforcement learning algorithm"

A Multi-Agent Deep Reinforcement Learning Algorithm for Task Offloading in Future 6G V2X Network

Autoři: Jiakun LI Jiajian LI Yanjun SHI a další

Zdroj: IEICE Transactions on Information and Systems. :697-708

Graph Attention Enhanced Multi-UAV Trajectory Planning: A Multi-Agent Deep Reinforcement Learning Algorithm

Autoři: Gaoxiang Cao Wenke Yuan Huasen He a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819635634

Enhancing Delay-Sensitive Task Offloading: A Multi-agent Deep Reinforcement Learning Algorithm for MEC-Based AIoT Systems

Autoři: Fengjie Tang Jia Xu Xiao Liu a další

Zdroj: Lecture Notes in Computer Science ISBN: 9789819615414

Target-Value-Competition-Based Multi-Agent Deep Reinforcement Learning Algorithm for Distributed Nonconvex Economic Dispatch

Autoři: Lifu Ding Zhiyun Lin Xiasheng Shi a další

Zdroj: IEEE Transactions on Power Systems. 38:204-217

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management

Autoři: Cong Ma Jiangshe Zhang Zongxin Li a další

Zdroj: Neural Computing and Applications. 35:6589-6601

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

DMADRL: A Distributed Multi-agent Deep Reinforcement Learning Algorithm for Cognitive Offloading in Dynamic MEC Networks

Autoři: Meng Yi Peng Yang Miao Du a další

Zdroj: Neural Processing Letters. 54:4341-4373

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem

Autoři: Xiulan Shu Anping Lin Xupeng Wen

Zdroj: Sensors (Basel)
Sensors, Vol 24, Iss 20, p 6698 (2024)

Témata: energy savings, deep reinforcement learning, Chemical technology, drone routing, multiple agents, TP1-1185, Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39460178
https://doaj.org/article/fb35ed361f2e48f09579eea7757a3575

A traffic light control method based on multi-agent deep reinforcement learning algorithm

Autoři: Dongjiang Liu Leixiao Li

Zdroj: Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)

Témata: Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/56967d6250c6428b951aee186436e1d9

Multi-agent Deep Reinforcement Learning Algorithm for Distributed Economic Dispatch in Smart Grid

Autoři: Zhiyun Lin Lifu Ding Gangfeng Yan

Zdroj: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society. :3529-3534

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/iecon/iecon2020.html#DingLY20

Approximating Stackelberg Equilibrium in Anti-UAV Jamming Markov Game with Hierarchical Multi-Agent Deep Reinforcement Learning Algorithm

Autoři: Zikai Feng Yuanyuan Wu Mengxing Huang a další

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A hybrid MARL clustering framework for real time open pit mine truck scheduling

Autoři: Xiaolei Xiang Wei Lin Danqi Li

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-23 (2025)

Témata: Multi-agent deep reinforcement learning algorithm, QMIX, Gaussian mixture model, Open-pit mining, Truck scheduling, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/f7ac25e2b3aa4d10b60e96df41633cce

Multi-agent deep reinforcement learning algorithm with self-adaption division strategy for VNF-SC deployment in SDN/NFV-Enabled Networks

Autoři: Hejun Xuan Yi Zhou Xuelin Zhao a další

Zdroj: Applied Soft Computing. 138:110189

Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem.

Autoři: Shu, Xiulan Lin, Anping Wen, Xupeng

Zdroj: Sensors (14248220); Oct2024, Vol. 24 Issue 20, p6698, 17p

Témata: DEEP reinforcement learning, MACHINE learning, VEHICLE routing problem, ROUTING algorithms, ENERGY consumption, REINFORCEMENT learning

Low-carbon economic dispatch strategy for integrated electrical and gas system with GCCP based on multi-agent deep reinforcement learning

Autoři: Wentao Feng Bingyan Deng Ziwen Zhang a další

Zdroj: Frontiers in Energy Research, Vol 12 (2024)

Témata: GCCP, 13. Climate action, integrated electrical and gas system, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, carbon emission, 02 engineering and technology, multi-agent deep reinforcement learning algorithm, low-carbon, 7. Clean energy, General Works, 12. Responsible consumption

Přístupová URL adresa: https://doaj.org/article/e2bfbac0d64f4f6eb72dfddab8d3ad7d

Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management.

Autoři: Ma, Cong Zhang, Jiangshe Li, Zongxin a další

Zdroj: Neural Computing & Applications; Mar2023, Vol. 35 Issue 9, p6589-6601, 13p

Témata: MACHINE learning, PORTFOLIO management (Investments), REINFORCEMENT learning, REWARD (Psychology), FINANCIAL management, STOCK exchanges

DMADRL: A Distributed Multi-agent Deep Reinforcement Learning Algorithm for Cognitive Offloading in Dynamic MEC Networks.

Autoři: Yi, Meng Yang, Peng Du, Miao a další

Zdroj: Neural Processing Letters; Oct2022, Vol. 54 Issue 5, p4341-4373, 33p

Témata: REINFORCEMENT learning, DISTRIBUTED algorithms, DEEP learning, MACHINE learning, COGNITIVE learning, MARKOV processes, DATA transmission systems

A traffic light control method based on multi-agent deep reinforcement learning algorithm.

Autoři: Liu, Dongjiang Li, Leixiao

Zdroj: Scientific Reports; 6/9/2023, Vol. 13 Issue 1, p1-11, 11p

Témata: MACHINE learning, TRAFFIC engineering, REINFORCEMENT learning, TRAFFIC congestion, TRAFFIC signs & signals, REWARD (Psychology)

Multi-agent deep reinforcement learning algorithm with self-adaption division strategy for VNF-SC deployment in SDN/NFV-Enabled Networks.

Autoři: Xuan, Hejun Zhou, Yi Zhao, Xuelin a další

Zdroj: Applied Soft Computing. May2023, Vol. 138, pN.PAG-N.PAG. 1p.

Témata: Machine learning, Reinforcement learning, Deep learning, Particle swarm optimization, Dynamic programming, Markov processes, Reward (Psychology)

改进MADDPG算法的未知环境下多智能体单目标协同探索. (Chinese)

Alternate Title: Multi-Agent Single-Goal Collaborative Exploration in Unknown Environments with Improving MADDPG Algorithm. (English)

Autoři: 韩慧妍 石树熙 况立群 a další

Zdroj: Journal of Computer Engineering & Applications; 11/15/2025, Vol. 61 Issue 22, p320-328, 9p

Témata: REINFORCEMENT learning, INTRINSIC motivation, MULTIAGENT systems, ARTIFICIAL neural networks

A hybrid MARL clustering framework for real time open pit mine truck scheduling.

Autoři: Xiang, Xiaolei Lin, Wei Li, Danqi

Zdroj: Scientific Reports; 10/7/2025, Vol. 15 Issue 1, p1-23, 23p

Témata: GAUSSIAN mixture models, ROBOTIC path planning, MULTIAGENT systems, STRIP mining, TRANSPORTATION schedules, CLUSTERING algorithms