Joint optimization of multi-UAV target assignment and path planning based on multi-agent reinforcement learning
H Qie, D Shi, T Shen, X Xu, Y Li, L Wang - IEEE access, 2019 - ieeexplore.ieee.org
One of the major research topics in unmanned aerial vehicle (UAV) collaborative control
systems is the problem of multi-UAV target assignment and path planning (MUTAPP). It is a …
systems is the problem of multi-UAV target assignment and path planning (MUTAPP). It is a …
Collaborative decision-making method for multi-UAV based on multiagent reinforcement learning
S Li, Y Jia, F Yang, Q Qin, H Gao, Y Zhou - IEEE Access, 2022 - ieeexplore.ieee.org
The collaborative mission capability of multi-UAV has received more and more attention in
recent years as the research on multi-UAV theories and applications has intensified. The …
recent years as the research on multi-UAV theories and applications has intensified. The …
Resource allocation in UAV-assisted networks: A clustering-aided reinforcement learning approach
S Zhou, Y Cheng, X Lei, Q Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an aerial base station, unmanned aerial vehicle (UAV) has been considered as a
promising technology to assist future wireless communications due to its flexible, swift and …
promising technology to assist future wireless communications due to its flexible, swift and …
Reinforcement learning in multiple-UAV networks: Deployment and movement design
A novel framework is proposed for quality of experience driven deployment and dynamic
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
UAV path planning based on multi-layer reinforcement learning technique
Z Cui, Y Wang - Ieee Access, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely used in many applications due to its
small size, swift mobility and low cost. Therefore, the study of guidance, navigation and …
small size, swift mobility and low cost. Therefore, the study of guidance, navigation and …
Three-dimension trajectory design for multi-UAV wireless network with deep reinforcement learning
The effective trajectory design of multiple unmanned aerial vehicles (UAVs) is investigated
for improving the capacity of the communication system. The aim is for maximizing real-time …
for improving the capacity of the communication system. The aim is for maximizing real-time …
Deep reinforcement learning based computation offloading and trajectory planning for multi-UAV cooperative target search
Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to
complete target search tasks. However, the short battery life and moderate computational …
complete target search tasks. However, the short battery life and moderate computational …
Multi-agent deep reinforcement learning for trajectory design and power allocation in multi-UAV networks
N Zhao, Z Liu, Y Cheng - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) is regarded as an effective technology in future wireless
networks. However, due to the non-convexity feature of joint trajectory design and power …
networks. However, due to the non-convexity feature of joint trajectory design and power …
Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks
We consider the downlink of an unmanned aerial vehicle (UAV) assisted cellular network
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
Multi-UAV task allocation based on improved genetic algorithm
X Wu, Y Yin, L Xu, X Wu, F Meng, R Zhen - IEEE Access, 2021 - ieeexplore.ieee.org
The path length of multiple unmanned aerial vehicle (multi-UAV) has a certain impact on the
task allocation of multi-UAV. In order to improve the efficiency of multi-UAV and reduce the …
task allocation of multi-UAV. In order to improve the efficiency of multi-UAV and reduce the …