Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
SDN-based resource allocation in edge and cloud computing systems: An evolutionary Stackelberg differential game approach
Recently, the boosting growth of computation-heavy applications raises great challenges for
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …
the Fifth Generation (5G) and future wireless networks. As responding, the hybrid edge and …
Communication and control in collaborative UAVs: Recent advances and future trends
The recent progress in unmanned aerial vehicles (UAV) technology has significantly
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …
Multi-agent broad reinforcement learning for intelligent traffic light control
Intelligent traffic light control (ITLC) aims to relieve traffic congestion. Some multi-agent deep
reinforcement learning (MADRL) algorithms have been proposed for ITLC, and most of them …
reinforcement learning (MADRL) algorithms have been proposed for ITLC, and most of them …
Quantum Multiagent Actor–Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
C Park, WJ Yun, JP Kim, TK Rodrigues… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This article proposes a novel algorithm, named quantum multiagent actor–critic networks
(QMACN) for autonomously constructing a robust mobile access system employing multiple …
(QMACN) for autonomously constructing a robust mobile access system employing multiple …
Integral sliding mode control for a class of nonlinear multiagent systems with multiple time-varying delays
This paper deals with the stability of nonlinear multi-agent systems (MASs) with multiple time
delays. A class of multi-agent system (MAS) is constructed considering the effects of multiple …
delays. A class of multi-agent system (MAS) is constructed considering the effects of multiple …
Dynamic handover: Throw and catch with bimanual hands
Humans throw and catch objects all the time. However, such a seemingly common skill
introduces a lot of challenges for robots to achieve: The robots need to operate such …
introduces a lot of challenges for robots to achieve: The robots need to operate such …
Learning based channel allocation and task offloading in temporary UAV-assisted vehicular edge computing networks
C Yang, B Liu, H Li, B Li, K Xie… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
High-level autonomous decision making system is one of the key technologies in intelligent
transportation networks, it requires the traffic information within a certain range of vehicles in …
transportation networks, it requires the traffic information within a certain range of vehicles in …
AUV-assisted node repair for IoUT relying on multi-agent reinforcement learning
In recent years, the Internet of Underwater Things (IoUT) has garnered significant attention
owing to its potential in ocean exploration and monitoring. However, environmental erosion …
owing to its potential in ocean exploration and monitoring. However, environmental erosion …