Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mengda Yan"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which enables a missile to guide to a target and evade an interceptor at the same time. Bas
Externí odkaz:
https://doaj.org/article/46407e6a56cd470b82db49fd05e4728d
Publikováno v:
Drones, Vol 7, Iss 3, p 150 (2023)
In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches rely on the ideal assumption of a pre-set target trajectory. However, in practice, the trajec
Externí odkaz:
https://doaj.org/article/4bd6e505f013449fb1cddf4001b787e4
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811966125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::969305656a7f632a8f1bda52b41f245d
https://doi.org/10.1007/978-981-19-6613-2_499
https://doi.org/10.1007/978-981-19-6613-2_499
Publikováno v:
2022 IEEE International Conference on Unmanned Systems (ICUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8400c2a73ca298da5b4b7d63cc4e7ad
https://doi.org/10.1109/icus55513.2022.9987228
https://doi.org/10.1109/icus55513.2022.9987228
Publikováno v:
Electronics; Volume 11; Issue 13; Pages: 2031
The reconnaissance of high-value targets is prerequisite for effective operations. The recent appreciation of deep reinforcement learning (DRL) arises from its success in navigation problems, but due to the competitiveness and complexity of the milit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fdde6686a67bcfc87b6a6cafe46bd6a
https://doi.org/10.3390/electronics11132031
https://doi.org/10.3390/electronics11132031
Publikováno v:
Engineering Applications of Artificial Intelligence. 111:104767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b22b63bf0f6db6c1fa97a78ba08450e7
https://doi.org/10.1016/j.engappai.2022.104767
https://doi.org/10.1016/j.engappai.2022.104767