Thomas Nakken Larsen
Publications
2024
-
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)
Academic chapter/article/Conference paper
-
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
Academic article
2023
-
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
Academic article
2022
-
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
Academic article
-
Larsen, Thomas Nakken;
Busetto, Riccardo;
Varagnolo, Damiano;
Formentin, Simone;
Rasheed, Adil.
(2022)
A receding horizon approach for curriculum management in higher education.
IFAC-PapersOnLine
Academic article
-
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
Academic chapter/article/Conference paper
2021
-
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
Academic article
Journal publications
-
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
Academic article
-
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
Academic article
-
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
Academic article
-
Larsen, Thomas Nakken;
Busetto, Riccardo;
Varagnolo, Damiano;
Formentin, Simone;
Rasheed, Adil.
(2022)
A receding horizon approach for curriculum management in higher education.
IFAC-PapersOnLine
Academic article
-
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
Academic article
Part of book/report
-
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)
Academic chapter/article/Conference paper
-
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
Academic chapter/article/Conference paper