Zobrazeno 1 - 10
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pro vyhledávání: '"Loiselle, Keith"'
Publikováno v:
IFAC-PapersOnLine, Volume 55, Issue 37, 2022, Pages 615-620
Reinforcement learning (RL)-based driver assistance systems seek to improve fuel consumption via continual improvement of powertrain control actions considering experiential data from the field. However, the need to explore diverse experiences in ord
Externí odkaz:
http://arxiv.org/abs/2301.00904
Publikováno v:
IFAC-PapersOnLine, Volume 55, Issue 24, 2022, Pages 149-154
Reinforcement learning (RL)-based adaptive cruise control systems (ACC) that learn and adapt to road, traffic and vehicle conditions are attractive for enhancing vehicle energy efficiency and traffic flow. However, the application of RL in safety cri
Externí odkaz:
http://arxiv.org/abs/2301.00884
Publikováno v:
IFAC Papers Online Vol 55 (2022)
Eco-driving strategies have been shown to provide significant reductions in fuel consumption. This paper outlines an active driver assistance approach that uses a residual policy learning (RPL) agent trained to provide residual actions to default pow
Externí odkaz:
http://arxiv.org/abs/2212.07611
Publikováno v:
2022 American Control Conference
With the growing need to reduce energy consumption and greenhouse gas emissions, Eco-driving strategies provide a significant opportunity for additional fuel savings on top of other technological solutions being pursued in the transportation sector.
Externí odkaz:
http://arxiv.org/abs/2212.07594
Autor:
Hailemichael, Habtamu *, Ayalew, Beshah *, Kerbel, Lindsey *, Ivanco, Andrej, Loiselle, Keith
Publikováno v:
In IFAC PapersOnLine 2022 55(37):615-620
Publikováno v:
In IFAC PapersOnLine 2022 55(24):149-154
Akademický článek
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Publikováno v:
Proceedings of SPIE; Nov2000, Issue 1, p123-133, 11p
Publikováno v:
IEEE Transactions on Magnetics; Jul2001 Part 1 of 2, Vol. 37 Issue 4, p2767, 3p, 1 Diagram, 2 Graphs
Autor:
Loiselle, Keith T., Grimes, Craig A.
Publikováno v:
Review of Scientific Instruments; Mar2000, Vol. 71 Issue 3