Karol Arndt
Karol Arndt
PhD Student, Aalto University
Verified email at aalto.fi
Title
Cited by
Cited by
Year
Affordance learning for end-to-end visuomotor robot control
A Hämäläinen, K Arndt, A Ghadirzadeh, V Kyrki
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
232019
Meta reinforcement learning for sim-to-real domain adaptation
K Arndt, M Hazara, A Ghadirzadeh, V Kyrki
2020 IEEE International Conference on Robotics and Automation (ICRA), 2725-2731, 2020
212020
Few-shot model-based adaptation in noisy conditions
K Arndt, A Ghadirzadeh, M Hazara, V Kyrki
IEEE Robotics and Automation Letters 6 (2), 4193-4200, 2021
32021
Affine Transport for Sim-to-Real Domain Adaptation
A Mallasto, K Arndt, M Heinonen, S Kaski, V Kyrki
arXiv preprint arXiv:2105.11739, 2021
2021
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
K Arndt, O Struckmeier, V Kyrki
arXiv preprint arXiv:2103.07223, 2021
2021
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Articles 1–5