Journal of Zhejiang University

Deep search:Searching for "reinforcement learning" in 'ABSTRACT' Got 52 items.

index	Title
46	Multi-agent evaluation for energy management by practically scaling α-rank Author(s):Yiyun SUN, Senlin ZHANG, Meiqin LI... Clicked:1772 Download:1903 Cited:0 <Full Text> <PPT> 444 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.7 P.1003-1016 DOI:10.1631/FITEE.2300438
47	Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning... Author(s):Tianjiao CHEN, Xiaoyun WANG, Meihu... Clicked:1002 Download:588 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.2 P.214-229 DOI:10.1631/FITEE.2400240
48	Adaptive multi-layer deployment for a digital-twin-empowered satellite-terrestrial integrated network Author(s):Yihong TAO, Bo LEI, Haoyang SHI, J... Clicked:1167 Download:698 Cited:0 <Full Text> <PPT> 192 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.2 P.246-259 DOI:10.1631/FITEE.2400327
49	Deep reinforcement learning for near-field wideband beamforming in STAR-RIS networks Author(s):Ji WANG, Jiayi SUN, Wei FANG, Zhao... Clicked:686 Download:568 Cited:0 <Full Text> <PPT> 244 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.12 P.1651-1663 DOI:10.1631/FITEE.2400364
50	Adaptive layer splitting for wireless large language model inference in edge computing: a model-based reinf... Author(s):Yuxuan CHEN, Rongpeng LI, Xiaoxue ... Clicked:997 Download:654 Cited:0 <Full Text> <PPT> 151 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.2 P.278-292 DOI:10.1631/FITEE.2400468
51	Federated deep reinforcement learning-based computation offloading in a LEOsatellite edge computing system Author(s):Min JIA, Jian WU, Xinyu WANG, Qing... Clicked:338 Download:430 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 1998 Vol.-1 No.-1 P. DOI:10.1631/FITEE.2400448
52	Significance extraction based on data augmentation for reinforcement learning Author(s):Yuxi HAN, Dequan LI, Yang YANG Clicked:359 Download:374 Cited:0 <Full Text> <PPT> 52 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.3 P.385-399 DOI:10.1631/FITEE.2400406