Photo of Erik Matias Lintunen
An intrinsically motivated open-ended learner.

Erik Matias Lintunen

I'm a PhD student at the University of Alberta, working with Marlos C. Machado on representation-driven discovery of temporal abstractions for reinforcement learning. I'm part of the ReAL and RLAI labs, Amii, and the IMOL community. Previously, I spent several years at Aalto University studying intrinsically motivated skill learning and how individual differences in cognition predict everyday digital skills.

How do humans and machines turn experience into knowledge and skills? I'm interested in how deep reinforcement learning systems form representations through interaction with a big and noisy world, and how those representations can support lifelong learning. Longer term, I hope to use computational models to better understand how humans learn and make decisions.

Getting here has been wonderfully non-linear: I have formal training in sound art, information experience design, mathematics, statistics, and computational methods. Along the way, I've worked as a sound engineer in the performing arts, a technical producer on large-scale radio broadcasting projects, a software engineer, and a lecturer in digital arts and computing.


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