Výsledky vyhledávání - "Multi-agent reinforcement learning algorithm"

Towards Efficient Multi-UAV Air Combat: An Intention Inference and Sparse Transmission Based Multi-Agent Reinforcement Learning Algorithm

Autoři: Jinchao Han Yan Yan Baoxian Zhang

Zdroj: IEEE Transactions on Artificial Intelligence. :1-12

DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints

Autoři: Raheeb Hassan K.M. Shadman Wadith Md. Mamun or Rashid a další

Zdroj: Applied Intelligence. 54:6108-6124

Témata: FOS: Computer and information sciences, Statistics - Machine Learning, Computer Science - Multiagent Systems, Machine Learning (stat.ML), Multiagent Systems (cs.MA)

Přístupová URL adresa: http://arxiv.org/abs/2310.14348

A safe multi-agent reinforcement learning algorithm using constraint update projection approach

Autoři: Yang Liu Xiang Feng Huiqun Yu

Zdroj: Engineering Applications of Artificial Intelligence. 161:111929

DMRL: A distributed multi-agent reinforcement learning algorithm for imbalanced classification

Autoři: Yixin Ji Chao Jing

Zdroj: Knowledge-Based Systems. 327:114101

A Multi-Agent Reinforcement Learning Algorithm Embedded with Opponent Modeling

Autoři: Shun Li Xiao Su Bing Shi

Zdroj: Frontiers in Artificial Intelligence and Applications ISBN: 9781643685489

Retracted: Research on Micro Grid Optimization based on Multi-Agent Reinforcement Learning Algorithm

Autoři: Bin Zhang Zongchuan Zhou Yiming Han a další

Zdroj: 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC). :1-4

Mean Field Multi-Agent Reinforcement Learning Algorithm Based on Denoising Diffusion Probability Models

Zdroj: Software Engineering and Applications. 13:704-719

Innovative Study on Government Debt Risk Contagion Model Integrating the Copula Model with Multi-Agent Reinforcement Learning Algorithm.

Autoři: Zebin Liu Xiaoheng Zhang Hui Lv a další

Zdroj: IAENG International Journal of Computer Science. Oct2025, Vol. 52 Issue 10, p3583-3599. 17p.

Témata: Public debts, Dynamic models, Dependence (Statistics), Systemic risk (Finance), Economic development, Multiagent systems

Geografický termín: China, Anhui Sheng (China)

MABQN: Multi-agent reinforcement learning algorithm with discrete policy

Autoři: Qing Xie Zicheng Wang Yuyuan Fang a další

Zdroj: Neurocomputing. 626:129552

Multi-agent Reinforcement Learning Algorithm Based on Role Parameter Sharing

Autoři: Hui Zhang Chi Xu Ting-Ting Zhang a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819733354

Multi-agent Reinforcement Learning Algorithm Based on AI Planning

Autoři: XIN Yuanxia, HUA Daoyang, ZHANG Li

Zdroj: Jisuanji kexue, Vol 51, Iss 5, Pp 179-192 (2024)

Témata: multi-agent reinforcement learning, ai planning, heuristically search, exploration efficiency, Computer software, QA76.75-76.765, Technology (General), T1-995

Popis souboru: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-5-179.pdf; https://doaj.org/toc/1002-137X

Přístupová URL adresa: https://doaj.org/article/2729fa9379714bb9974505e415eac44c

Multi-objective FJSP Based on Multi-agent Reinforcement Learning Algorithm

Autoři: Shilin Huo Wenfeng Wu

Zdroj: 2023 6th International Conference on Computer Network, Electronic and Automation (ICCNEA). :341-343

A Multi-Agent Reinforcement Learning Algorithm for Personalized Recommendations in Bipolar Disorder

Autoři: Soroush Saghafian Sidian Lin Lipschitz, Jessica a další

Intelligent Pricing and Inventory Control: A Deep Multi-Agent Reinforcement Learning Algorithm

Autoři: Qiang Zhou Ciwei Dong Yefei Yang a další

A Novel Distributed Multi-Agent Reinforcement Learning Algorithm Against Jamming Attacks

Autoři: Ibrahim Elleuch Ali Pourranjbar Georges Kaddoum

Zdroj: IEEE Communications Letters. 25:3204-3208

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

Přístupová URL adresa: https://espace2.etsmtl.ca/id/eprint/23516/
https://dblp.uni-trier.de/db/journals/icl/icl25.html#ElleuchPK21
https://ieeexplore.ieee.org/document/9486955

Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network

Autoři: Kotoku, Shun Mihana, Takatomo Röhm, André a další

Témata: Computer Science - Machine Learning, Computer Science - Multiagent Systems, Nonlinear Sciences - Chaotic Dynamics, Physics - Optics, text

URL: http://arxiv.org/abs/2407.09124

A Meta Multi-agent Reinforcement Learning Algorithm for Multi-intersection Traffic Signal Control

Autoři: Shantian Yang Bo Yang

Zdroj: 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). :18-25

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response

Autoři: Taesik Lee Hyun-Rok Lee

Zdroj: European Journal of Operational Research. 291:296-308

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

Heterogeneous multi-Agent reinforcement learning algorithm integrating Prior-knowledge

Autoři: ZHOU Jiawei, SUN Yuxiang, XUE Yufan, XIANG Qi, WU Ying, ZHOU Xianzhong

Zdroj: Zhihui kongzhi yu fangzhen, Vol 45, Iss 3, Pp 99-107 (2023)

Témata: reinforcement learning, intelligent game, wargaming, maddpg, multi-agent collaboration, Military Science

Popis souboru: electronic resource

Relation: https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1673-3819(2023)03-0099-09.pdf; https://doaj.org/toc/1673-3819

Přístupová URL adresa: https://doaj.org/article/2ccba9d53c5e4442918710d127a22cc6

Multi-agent Reinforcement Learning Algorithm Based on Local Information

Autoři: Chonglun Li Zhaoxiong He Bingzheng Wang a další

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789819904785