Karol Arndt

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 22

Top Topics

Invariant Representation

Domain Adaptation

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Gabriele Tiboni, Karol Arndt, Ville Kyrki
DROPO: Sim-to-real transfer with offline domain randomization. Robotics Auton. Syst. 166 (2023)
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation. CoRR (2023)
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski
Understanding deep neural networks through the lens of their non-linearity. CoRR (2023)
Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki
Co-imitation: Learning Design and Behaviour by Imitation. AAAI (2023)
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation. Trans. Mach. Learn. Res. 2023 (2023)
Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi
Online vs. Offline Adaptive Domain Randomization Benchmark. CoRR (2022)
Gabriele Tiboni, Karol Arndt, Ville Kyrki
DROPO: Sim-to-Real Transfer with Offline Domain Randomization. CoRR (2022)
Rituraj Kaushik, Karol Arndt, Ville Kyrki
SafeAPT: Safe Simulation-to-Real Robot Learning using Diverse Policies Learned in Simulation. CoRR (2022)
Rituraj Kaushik, Karol Arndt, Ville Kyrki
SafeAPT: Safe Simulation-to-Real Robot Learning Using Diverse Policies Learned in Simulation. IEEE Robotics Autom. Lett. 7 (3) (2022)
Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi
Online vs. Offline Adaptive Domain Randomization Benchmark. HFR (2022)
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models. J. Mach. Learn. Res. 23 (2022)
Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models. CoRR (2022)
Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki
Co-Imitation: Learning Design and Behaviour by Imitation. CoRR (2022)
Karol Arndt, Oliver Struckmeier, Ville Kyrki
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. IROS (2021)
Karol Arndt, Oliver Struckmeier, Ville Kyrki
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation. CoRR (2021)
Anton Mallasto, Karol Arndt, Markus Heinonen, Samuel Kaski, Ville Kyrki
Affine Transport for Sim-to-Real Domain Adaptation. CoRR (2021)
Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki
Few-Shot Model-Based Adaptation in Noisy Conditions. IEEE Robotics Autom. Lett. 6 (2) (2021)
Karol Arndt, Ali Ghadirzadeh, Murtaza Hazara, Ville Kyrki
Few-shot model-based adaptation in noisy conditions. CoRR (2020)
Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. ICRA (2020)
Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki
Affordance Learning for End-to-End Visuomotor Robot Control. IROS (2019)
Karol Arndt, Murtaza Hazara, Ali Ghadirzadeh, Ville Kyrki
Meta Reinforcement Learning for Sim-to-real Domain Adaptation. CoRR (2019)
Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki
Affordance Learning for End-to-End Visuomotor Robot Control. CoRR (2019)