Deep reinforcement learning in smart manufacturing: A review and prospects
To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …
Reinforcement learning algorithms: A brief survey
Reinforcement Learning (RL) is a machine learning (ML) technique to learn sequential
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
decision-making in complex problems. RL is inspired by trial-and-error based human/animal …
A survey of meta-reinforcement learning
While deep reinforcement learning (RL) has fueled multiple high-profile successes in
machine learning, it is held back from more widespread adoption by its often poor data …
machine learning, it is held back from more widespread adoption by its often poor data …
Deep learning: Systematic review, models, challenges, and research directions
T Talaei Khoei, H Ould Slimane… - Neural Computing and …, 2023 - Springer
The current development in deep learning is witnessing an exponential transition into
automation applications. This automation transition can provide a promising framework for …
automation applications. This automation transition can provide a promising framework for …
Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
Cooperative and competitive multi-agent systems: From optimization to games
Multi-agent systems can solve scientific issues related to complex systems that are difficult or
impossible for a single agent to solve through mutual collaboration and cooperation …
impossible for a single agent to solve through mutual collaboration and cooperation …
A survey on model-based, heuristic, and machine learning optimization approaches in RIS-aided wireless networks
Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
The role of shared mental models in human-AI teams: a theoretical review
RW Andrews, JM Lilly, D Srivastava… - Theoretical Issues in …, 2023 - Taylor & Francis
Mental models are knowledge structures employed by humans to describe, explain, and
predict the world around them. Shared Mental Models (SMMs) occur in teams whose …
predict the world around them. Shared Mental Models (SMMs) occur in teams whose …
A survey on UAV-assisted wireless communications: Recent advances and future trends
X Gu, G Zhang - Computer Communications, 2023 - Elsevier
Due to their characteristics of mobility, flexibility and adaptive altitude, unmanned aerial
vehicles (UAVs), also known as drones, have immense potential applications in wireless …
vehicles (UAVs), also known as drones, have immense potential applications in wireless …
Manipulating recommender systems: A survey of poisoning attacks and countermeasures
Recommender systems have become an integral part of online services due to their ability to
help users locate specific information in a sea of data. However, existing studies show that …
help users locate specific information in a sea of data. However, existing studies show that …