Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
A survey of deep reinforcement learning in recommender systems: A systematic review and future directions
In light of the emergence of deep reinforcement learning (DRL) in recommender systems
research and several fruitful results in recent years, this survey aims to provide a timely and …
research and several fruitful results in recent years, this survey aims to provide a timely and …
[HTML][HTML] Deep reinforcement learning in recommender systems: A survey and new perspectives
In light of the emergence of deep reinforcement learning (DRL) in recommender systems
research and several fruitful results in recent years, this survey aims to provide a timely and …
research and several fruitful results in recent years, this survey aims to provide a timely and …
Privacy-preserving localization for underwater sensor networks via deep reinforcement learning
Underwater sensor networks (USNs) are envisioned to enable a large variety of marine
applications. Such applications require accurate position information of sensor nodes …
applications. Such applications require accurate position information of sensor nodes …
Comprehensive ocean information-enabled AUV path planning via reinforcement learning
The path planning of the autonomous underwater vehicle (AUV) has shown great potential
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …
A privacy-preserving cross-domain healthcare wearables recommendation algorithm based on domain-dependent and domain-independent feature fusion
Recently, recommender systems are applied to provide personalized recomendation for
healthcare wearables. However, due to the sparsity problem, traditional recommendation …
healthcare wearables. However, due to the sparsity problem, traditional recommendation …
A survey on reinforcement learning for recommender systems
Recommender systems have been widely applied in different real-life scenarios to help us
find useful information. In particular, reinforcement learning (RL)-based recommender …
find useful information. In particular, reinforcement learning (RL)-based recommender …
A comprehensive survey on trustworthy recommender systems
As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …
people make appropriate decisions in an effective and efficient way, by providing …
[HTML][HTML] A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing
Abstract The Autonomous Underwater Glider (AUG) is a kind of prevailing underwater
intelligent internet vehicle and occupies a dominant position in industrial applications, in …
intelligent internet vehicle and occupies a dominant position in industrial applications, in …
A survey on knowledge graph-based recommender systems
D Li, H Qu, J Wang - 2023 China Automation Congress (CAC), 2023 - ieeexplore.ieee.org
Recommender systems have emerged as indispensable tools for information filtering, and
the integration of knowledge graphs for auxiliary information is becoming an increasingly …
the integration of knowledge graphs for auxiliary information is becoming an increasingly …