Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhenhui Ye"'
Publikováno v:
Entropy, Vol 24, Iss 5, p 638 (2022)
Mobile crowdsensing (MCS) is attracting considerable attention in the past few years as a new paradigm for large-scale information sensing. Unmanned aerial vehicles (UAVs) have played a significant role in MCS tasks and served as crucial nodes in the
Externí odkaz:
https://doaj.org/article/109bd5c47336435c910509d4f586a2ab
Publikováno v:
Entropy, Vol 24, Iss 4, p 563 (2022)
Most previous studies on multi-agent systems aim to coordinate agents to achieve a common goal, but the lack of scalability and transferability prevents them from being applied to large-scale multi-agent tasks. To deal with these limitations, we prop
Externí odkaz:
https://doaj.org/article/550dbae2d9ba413499e87b97b14133a9
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 24:117-130
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aa9e6f36fe6d4e7efc802fe96a169c1
https://doi.org/10.1631/fitee.2200073
https://doi.org/10.1631/fitee.2200073
Publikováno v:
Applied Intelligence. 52:3691-3704
The popularity of multi-agent deep reinforcement learning (MADRL) is growing rapidly with the demand for large-scale real-world tasks that require swarm intelligence, and many studies have improved MADRL from the perspective of network structures or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e626cb7da00c5a8b0732b07c18a44bf
https://doi.org/10.1007/s10489-021-02554-5
https://doi.org/10.1007/s10489-021-02554-5
Multi-UAV Navigation for Partially Observable Communication Coverage by Graph Reinforcement Learning
In this paper, we aim to design a deep reinforcement learning (DRL) based control solution to navigating a swarm of unmanned aerial vehicles (UAVs) to fly around an unexplored target area under partial observation, which serves as Mobile Base Station
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffefe4549564e8b2cbf82c2a8823a6e9
https://doi.org/10.36227/techrxiv.15048273.v2
https://doi.org/10.36227/techrxiv.15048273.v2
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 24:480-480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5afe765fe388e5baaf6d91b73e2c0747
https://doi.org/10.1631/fitee.22e0073
https://doi.org/10.1631/fitee.22e0073
Multi-UAV Navigation for Partially Observable Communication Coverage by Graph Reinforcement Learning
Autor:
Zhenhui Ye
In this paper, we aim to design a deep reinforcement learning(DRL) based control solution to navigate a swarm of unmanned aerial vehicles (UAVs) to fly around an unexplored target area under provide optimal communication coverage for the ground mobil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4649b04b1d72ed856e6015ac9ed77e9
https://doi.org/10.36227/techrxiv.15048273.v1
https://doi.org/10.36227/techrxiv.15048273.v1