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Kevin Sebastian Luck
Kevin Sebastian Luck
Finnish Center for AI || Aalto University
Bestätigte E-Mail-Adresse bei aalto.fi
Titel
Zitiert von
Zitiert von
Jahr
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
KS Luck, HB Amor, R Calandra
Conference on Robot Learning, 854-869, 2020
442020
Residual Learning from Demonstration: Adapting DMPs for Contact-rich Manipulation
T Davchev, KS Luck, M Burke, F Meier, S Schaal, S Ramamoorthy
IEEE Robotics and Automation Letters 7 (2), 4488-4495, 2022
322022
Latent space policy search for robotics
KS Luck, G Neumann, E Berger, J Peters, HB Amor
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International …, 2014
322014
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion
KS Luck, J Campbell, MA Jansen, DM Aukes, HB Amor
Robotics: Science and Systems XIII, 2017
242017
Sparse Latent Space Policy Search
KS Luck, J Pajarinen, E Berger, V Kyrki, HB Amor
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
162016
Improved exploration through latent trajectory optimization in deep deterministic policy gradient
KS Luck, M Vecerik, S Stepputtis, HB Amor, J Scholz
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
102019
Bio-inspired robot design considering load-bearing and kinematic ontogeny of chelonioidea sea turtles
A Jansen, KS Luck, J Campbell, HB Amor, DM Aukes
Biomimetic and Biohybrid Systems: 6th International Conference, Living …, 2017
72017
Extracting bimanual synergies with reinforcement learning
KS Luck, HB Amor
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
62017
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
M Dunion, T McInroe, KS Luck, J Hanna, SV Albrecht
11th International Conference on Learning Representations (ICLR 2023), 2022
42022
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks
KS Luck, R Calandra, M Mistry
arXiv preprint arXiv:2111.02371, 2021
22021
Which Language Evolves Between Heterogeneous Agents?-Communicating Movement Instructions With Widely Different Time Scopes
M Ossenkopf, KS Luck, KW Mathewson
Emergent Communication Workshop at ICLR 2022, 2022
12022
Co-Imitation: Learning Design and Behaviour by Imitation
C Rajani, K Arndt, D Blanco-Mulero, KS Luck, V Kyrki
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence …, 2023
2023
Practical Equivariances via Relational Conditional Neural Processes
D Huang, M Haussmann, U Remes, ST John, G Clarté, KS Luck, S Kaski, ...
arXiv preprint arXiv:2306.10915, 2023
2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
M Dunion, T McInroe, KS Luck, JP Hanna, SV Albrecht
arXiv preprint arXiv:2305.14133, 2023
2023
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping
G Pizzuto, H Wang, H Fakhruldeen, B Peng, KS Luck, AI Cooper
arXiv preprint arXiv:2209.14875, 2022
2022
Systems and methods for rapid-prototyped robotic devices
DM Aukes, HB Amor, K Luck, M Jansen, J Campbell
US Patent 11,148,286, 2021
2021
Residual learning from demonstration
T Davchev, KS Luck, M Burke, F Meier, S Schaal, S Ramamoorthy
arXiv preprint arXiv:2008.07682, 2020
2020
Sample-Efficient Reinforcement Learning of Robot Control Policies in the Real World
KS Luck
Arizona State University, 2019
2019
Latent Space Reinforcement Learning
KS Luck
TU Darmstadt, 2014
2014
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