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Tobias Lømo

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Visiting address Forskningsv. 3A Harald Schjelderups hus 0373 Oslo
Postal address Postboks 1133 Blindern 0318 Oslo
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

I am a PhD Fellow at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO) at the University of Oslo. My research explores how we can develop smarter and more adaptable robots by drawing inspiration from human psychology and decision-making.

In particular, I investigate how ideas such as fast and slow thinking, model-based and model-free decision-making, and bounded rationality can inform the design of artificial systems. I work with reinforcement learning systems that incorporate multiple decision-making processes and can switch between them depending on the situation.

My research focuses both on how to design and implement these systems and on understanding how different decision-making strategies affect their behaviour. The broader goal is to develop robots that can make more effective decisions and adapt to the complexity and uncertainty of real-world environments.

Tags: Reinforcement Learning, Machine Learning, Deep Learning, Artificial intelligence, Robotics

Publications

  • Lømo, Tobias; Baselizadeh, Adel; Ellefsen, Kai Olav & Tørresen, Jim (2026). Dual Process Dreamer: Fast and Slow Decision-Making with World Models. Proceedings of the International Conference on Agents and Artificial Intelligence (ICAART). ISSN 2184-3589. 2, p. 1230–1241. doi: 10.5220/0014243200004052. Full text in Research Archive
  • Lømo, Tobias; Tørresen, Jim; Kolberg, Mariana & Maffei, Renan (2024). Multi Map Visual Localization for Unmanned Aerial Vehicles. IEEE Robotics and Automation Letters. ISSN 2377-3766. 10(2). doi: 10.1109/LRA.2024.3518071. Full text in Research Archive

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Published Oct. 10, 2024 2:35 PM - Last modified Oct. 6, 2026 2:53 AM