Thomas Nakken Larsen
Publikasjoner
2024
-
Vaaler, Aksel;
Husa, Svein Jostein;
Menges, Daniel;
Larsen, Thomas Nakken;
Rasheed, Adil.
(2024)
Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters.
Artificial Intelligence
Vitenskapelig artikkel
-
Larsen, Thomas Nakken;
Barlaug, Eirik Runde;
Rasheed, Adil.
(2024)
Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance.
The American Society of Mechanical Engineers (ASME)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2023
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Larsen, Thomas Nakken;
Hansen, Hannah;
Rasheed, Adil.
(2023)
Risk-based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels using Deep Reinforcement Learning.
IFAC-PapersOnLine
Vitenskapelig artikkel
2022
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Larsen, Thomas Nakken;
Busetto, Riccardo;
Varagnolo, Damiano;
Formentin, Simone;
Rasheed, Adil.
(2022)
A receding horizon approach for curriculum management in higher education.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Busetto, Riccardo;
Larsen, Thomas Nakken;
Rasheed, Adil;
Varagnolo, Damiano;
Formentin, Simone.
(2022)
A receding-horizon estimation and control framework for the content sequencing problem.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Heiberg, Amalie;
Larsen, Thomas Nakken;
Meyer, Eivind;
Rasheed, Adil;
San, Omer;
Varagnolo, Damiano.
(2022)
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.
Neural Networks
Vitenskapelig artikkel
2021
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Larsen, Thomas Nakken;
Teigen, Halvor Ødegård;
Laache, Torkel;
Varagnolo, Damiano;
Rasheed, Adil.
(2021)
Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters.
Frontiers in Robotics and AI
Vitenskapelig artikkel
Tidsskriftspublikasjoner
-
Vaaler, Aksel;
Husa, Svein Jostein;
Menges, Daniel;
Larsen, Thomas Nakken;
Rasheed, Adil.
(2024)
Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters.
Artificial Intelligence
Vitenskapelig artikkel
-
Larsen, Thomas Nakken;
Hansen, Hannah;
Rasheed, Adil.
(2023)
Risk-based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels using Deep Reinforcement Learning.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Larsen, Thomas Nakken;
Busetto, Riccardo;
Varagnolo, Damiano;
Formentin, Simone;
Rasheed, Adil.
(2022)
A receding horizon approach for curriculum management in higher education.
IFAC-PapersOnLine
Vitenskapelig artikkel
-
Heiberg, Amalie;
Larsen, Thomas Nakken;
Meyer, Eivind;
Rasheed, Adil;
San, Omer;
Varagnolo, Damiano.
(2022)
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.
Neural Networks
Vitenskapelig artikkel
-
Larsen, Thomas Nakken;
Teigen, Halvor Ødegård;
Laache, Torkel;
Varagnolo, Damiano;
Rasheed, Adil.
(2021)
Comparing Deep Reinforcement Learning Algorithms’ Ability to Safely Navigate Challenging Waters.
Frontiers in Robotics and AI
Vitenskapelig artikkel
Del av bok/rapport
-
Larsen, Thomas Nakken;
Barlaug, Eirik Runde;
Rasheed, Adil.
(2024)
Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance.
The American Society of Mechanical Engineers (ASME)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
Busetto, Riccardo;
Larsen, Thomas Nakken;
Rasheed, Adil;
Varagnolo, Damiano;
Formentin, Simone.
(2022)
A receding-horizon estimation and control framework for the content sequencing problem.
IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel