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ORCIDThomas Nakken Larsen
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2020 – today
- 2024
[j3]Aksel Vaaler, Svein Jostein Husa, Daniel Menges
, Thomas Nakken Larsen, Adil Rasheed:
Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. Artif. Intell. 336: 104201 (2024)- [i3]Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed:
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance. CoRR abs/2404.00623 (2024) - 2023
- [i2]Aksel Vaaler, Svein Jostein Husa, Daniel Menges, Thomas Nakken Larsen, Adil Rasheed:
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters. CoRR abs/2312.01855 (2023) - 2022
- [j2]Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks 152: 17-33 (2022) - [c1]Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin:
A receding-horizon estimation and control framework for the content sequencing problem. ECC 2022: 1908-1915 - 2021
- [j1]Thomas Nakken Larsen, Halvor Ødegård Teigen, Torkel Laache, Damiano Varagnolo, Adil Rasheed:
Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters. Frontiers Robotics AI 8: 738113 (2021) - [i1]Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. CoRR abs/2112.00115 (2021)
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