Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Larsen, Thomas Nakken"'
Modern control systems are increasingly turning to machine learning algorithms to augment their performance and adaptability. Within this context, Deep Reinforcement Learning (DRL) has emerged as a promising control framework, particularly in the dom
Externí odkaz:
http://arxiv.org/abs/2404.00623
Many autonomous systems face safety challenges, requiring robust closed-loop control to handle physical limitations and safety constraints. Real-world systems, like autonomous ships, encounter nonlinear dynamics and environmental disturbances. Reinfo
Externí odkaz:
http://arxiv.org/abs/2312.01855
Publikováno v:
In Artificial Intelligence November 2024 336
Autor:
Larsen, Thomas Nakken, Heiberg, Amalie, Meyer, Eivind, Rasheeda, Adil, San, Omer, Varagnolo, Damiano
Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the electrification of transport is happening simultaneously, autonomous marine vessels can reduce environmental impact, lower costs, and increase efficie
Externí odkaz:
http://arxiv.org/abs/2112.00115
Autor:
Heiberg, Amalie, Larsen, Thomas Nakken, Meyer, Eivind, Rasheed, Adil, San, Omer, Varagnolo, Damiano
Publikováno v:
In Neural Networks August 2022 152:17-33
Autor:
Larsen, Thomas Nakken, Busetto, Riccardo, Varagnolo, Damiano, Formentin, Simone, Rasheed, Adil
Publikováno v:
IFAC-Papers
We propose a dynamic approach for curriculum management in university programs, i.e., for deciding which teaching and learning activities should be performed and in which order, as classes are being executed, to better aid the students reach the inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::995cf18aef796076b3180e62027580f3
https://doi.org/10.1016/j.ifacol.2022.09.225
https://doi.org/10.1016/j.ifacol.2022.09.225