I am a Phd student at the robot learning lab at Aalto University, under the supervision of Prof. Joni Pajarinen. My main research interests include multi-objective reinforcement learning and constrained reinforcement learning. More specifically, I am interested in how reinforcement learning could be applied in a more broad set of real-world tasks, which often requires considering multiple, possibly time-varying constraints. This issue can be also seen from the multi-objective viewpoint, where the constraints are alternative, conflicting objectives, and one has to find optimal policies for considering different viewpoints. Currently, I am working on advancing reinforcement learning approaches for discrete optimization problems with large search-spaces.

Previously, I received BSc degree in computer science from Tampere University in 2022, and I expect to receive my MSc degree in computer science from Tampere University during fall 2024. My MSc thesis studied the effect of soft-information sharing between policies in multi-objective reinforcement, and it was supervised by Prof. Ville Kyrki from Intelligent Robotics group at Aalto University.