Karol Arndt

According to our database, Karol Arndt authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning representations that are closed-form Monge mapping optimal with application to domain adaptation.

Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki

Trans. Mach. Learn. Res., 2023

DROPO: Sim-to-real transfer with offline domain randomization.

Gabriele Tiboni, Karol Arndt, Ville Kyrki

Robotics Auton. Syst., 2023

Understanding deep neural networks through the lens of their non-linearity.

Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski

CoRR, 2023

Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation.

Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki

CoRR, 2023

Co-imitation: Learning Design and Behaviour by Imitation.

Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SafeAPT: Safe Simulation-to-Real Robot Learning Using Diverse Policies Learned in Simulation.

Rituraj Kaushik, Karol Arndt, Ville Kyrki

IEEE Robotics Autom. Lett., 2022

Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models.

Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman

J. Mach. Learn. Res., 2022

Online vs. Offline Adaptive Domain Randomization Benchmark.

Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi

Proceedings of the Human-Friendly Robotics 2022, 2022

2021

Few-Shot Model-Based Adaptation in Noisy Conditions.

Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki

IEEE Robotics Autom. Lett., 2021

Affine Transport for Sim-to-Real Domain Adaptation.

Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki

CoRR, 2021

Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation.

Karol Arndt, Oliver Struckmeier, Ville Kyrki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Meta Reinforcement Learning for Sim-to-real Domain Adaptation.

Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Affordance Learning for End-to-End Visuomotor Robot Control.

Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019