Výsledky vyhľadávania - "multi-agent reinforcement learning algorithm"

Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks

Autori: K. Lakshmi Prabha Hanan Abdullah Mengash Hamed Alqahtani a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Predmety: Wireless sensor network, Multi agent reinforcement learning algorithm, Golden jack optimization, Localization error, Prediction. error minimization, Medicine, Science

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/6a3a125894ab45f591589f089c9401d0

A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning

Autori: Jieling Wang Yanfei Liu Chao Li a ďalší

Zdroj: Ain Shams Engineering Journal, Vol 16, Iss 11, Pp 103672- (2025)

Predmety: Netted Radar System (NRS), Non-cooperative adversarial scenario model, Multi-agent reinforcement learning algorithm, Jamming mode adjusting, Alternating training, Nonlinear problems, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447925004137; https://doaj.org/toc/2090-4479

Prístupová URL adresa: https://doaj.org/article/028047a5479048149576d324e4caa0b5

A Method for Joint Edge Server Deployment and Service Placement

Autori: ZHANG Junna, HAN Chaochen, CHEN Jiawei, ZHAO Xiaoyan, YUAN Peiyan

Zdroj: Jisuanji gongcheng, Vol 50, Iss 10, Pp 266-280 (2024)

Predmety: edge computing(ec), edge server(es) deployment, service placement, k-means clustering algorithm, multi-agent reinforcement learning algorithm, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20241024.pdf; https://doaj.org/toc/1000-3428

Prístupová URL adresa: https://doaj.org/article/caf49c3a82cb4db7a15e907b31f5e847

Admission control policy and key agreement based on anonymous identity in cloud computing

Autori: D. Paulraj S. Neelakandan M. Prakash a ďalší

Zdroj: Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-18 (2023)

Predmety: Cloud computing, Cross-cloud data migration, Key agreement, Multi-agent reinforcement learning algorithm (MARL), Admission control policy (ACP), Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2192-113X

Prístupová URL adresa: https://doaj.org/article/a04a8ed3ebef47c38328e3392191fc99