Erik Matias Lintunen
Doctoral Researcher
Department of Computer Science
My research focuses on the computational modelling of intrinsic motivation, specifically examining how it can be used to shape various aspects of computational reinforcement learning. This primarily entails designing algorithms that autonomously set and pursue goals to learn diverse skills. Additionally, my work involves developing methods to evaluate open-ended learning algorithms. This evaluation is crucial for understanding the breadth and adaptability of these algorithms in learning a wide range of abilities over time.
Full researcher profile
https://research.aalto.fi/...
E-post
erik.lintunen@aalto.fi
Postadress
Konemiehentie 2
02150 Espoo
Finland
Kompetensområde
Artificial Intelligence, Reinforcement Learning, Open-Ended Learning
Utmärkelser
Tutkijat maailmalle grant 2025
Grant (€18,000) to fund project "What To Practise Next? Reinforcement Learning for Skill Diversification"— a six-month research visit to work with Prof. Marlos C. Machado at the University of Alberta, Canada. Funded by: KAUTE Foundation, Walter Ahlström Foundation, the Foundation for the Economics Education, and the Nokia Foundation. Only top 15% of submissions funded.<br/>
Granted funding (personal grants)
Department of Computer Science
Jun 2025
Nordic Mensa Fund Grants 2024: "Article of the Year" Award
One of the five "Article of the Year" Award Recipients (€1,000 each) in 2024: Erik Lintunen from Aalto University, Finland, for the article: "Cognitive abilities predict performance in everyday computer tasks".
Award or honor granted for a specific work
Department of Computer Science
Dec 2024
WIRED's Creative Hack Award 2018: Finalist
Established in 2013, the CREATIVE HACK AWARD is an annual award for next-generation creators, who value ambitious vision and think beyond the borders of countries and regions.
Award or honor granted for a specific work
Department of Computer Science
Jan 2018
Forskningsgrupp
- Professorship Guckelsberger Christian, Doctoral Researcher
Publikationer
Advancing Self-Determination Theory via computational modelling: the case of competence and optimal challenge
Sebastian Deterding, Christian Guckelsberger, Erik Lintunen, Nadia Ady
2025
Motivation and Emotion
Towards a Formal Specification of the Need for Competence
Erik Lintunen, Nadia Ady, Sebastian Deterding, Christian Guckelsberger
2025
Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation
Erik M. Lintunen, Nadia M. Ady, Sebastian Deterding, Christian Guckelsberger
2025
Proceedings of the 47th Annual Conference of the Cognitive Science Society
VendiRL : A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
Erik Lintunen
2025
What To Practise Next? Using Diversity Progress To Select From Discriminability-Motivated Goals
Erik Lintunen, Nadia Ady, Christian Guckelsberger
2025
Why Self-Determination Theory Needs Formal Modelling: The Case of Competence and Balanced Challenge
Sebastian Deterding, Erik Matias Lintunen, Christian Guckelsberger, Nadia M. Ady
2024
Cognitive abilities predict performance in everyday computer tasks
Erik Lintunen, Viljami Salmela, Petri Jarre, Tuukka Heikkinen, Markku Kilpeläinen, Markus Jokela, Antti Oulasvirta
2024
International Journal of Human-Computer Studies
Diversity Progress for Goal Selection in Discriminability-Motivated RL
Erik Lintunen, Nadia Ady, Christian Guckelsberger
2024
Computationally Modelling Self-Determination Theory for HCI: The Case of Competence
Erik Lintunen, Christian Guckelsberger, Sebastian Deterding
2023
Effects of Cognitive Abilities on Success in Computer Use
Erik Lintunen, Viljami Salmela, Petri Jarre, Tuukka Heikkinen, Markku Kilpeläinen, Markus Jokela, Antti Oulasvirta
2023
Comparing soft robotic affective touch to human and brush affective touch
C.Y. Zheng, K-J. Wang, M. Wairagkar, M. Von Mohr, Erik Lintunen, K. Fotopoulou
2021
Latent Spaces: The High-Dimensional Infosphere
Erik Lintunen
2019