Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yuji Takubo"'
Autor:
Yuji Takubo, Masahiro Kanazaki
Publikováno v:
Aerospace, Vol 10, Iss 11, p 929 (2023)
Landing of supersonic transport (SST) suffers from a large uncertainty due to its highly sensitive aerodynamic properties in the subsonic domain, as well as the wind gusts around runways. At the vehicle design stage, a landing trajectory optimization
Externí odkaz:
https://doaj.org/article/3787185c185949c3a9efe4be48ad9ae5
Autor:
Brian Woodall, Mariel Borowitz, Kari Watkins, Maria Costa, Angela Howard, Perrine Kemerait, Michelle Lee, Gavin Rolls, Yuji Takubo, Rachel Titshaw, Maria Winstead, Jessica Zhang, Daisy Zhou
Publikováno v:
International Journal of Urban Sciences. :1-23
This paper develops a hierarchical reinforcement learning architecture for multimission spaceflight campaign design under uncertainty, including vehicle design, infrastructure deployment planning, and space transportation scheduling. This problem inv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a43dbc22f2b967ee24a5aa62e946f764
http://arxiv.org/abs/2103.08981
http://arxiv.org/abs/2103.08981
Publikováno v:
Journal of Spacecraft & Rockets. Sep2022, Vol. 59 Issue 5, p1660-1670. 11p.
Publikováno v:
Journal of Spacecraft & Rockets. Mar2022, Vol. 59 Issue 2, p421-433. 13p.
Performance analysis of hierarchical reinforcement learning framework for stochastic space logistics
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a8fb70fe9b2b3dffc6b96c8852d5b7
http://www.scopus.com/inward/record.url?eid=2-s2.0-85097681399&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85097681399&partnerID=MN8TOARS