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ORCIDKevin Sebastian Luck
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2020 – today
- 2024
[i10]Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck, Ville Kyrki:
Learning Transparent Reward Models via Unsupervised Feature Selection. CoRR abs/2410.18608 (2024)- 2023
- [c12]Chang Rajani
, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki:
Co-imitation: Learning Design and Behaviour by Imitation. AAAI 2023: 6200-6208 - [c11]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht:
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR 2023 - [c10]Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck:
Co-imagination of Behaviour and Morphology of Agents. LOD (1) 2023: 318-332 - [c9]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht:
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. NeurIPS 2023 - [c8]Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi:
Practical Equivariances via Relational Conditional Neural Processes. NeurIPS 2023 - [i9]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht:
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. CoRR abs/2305.14133 (2023) - [i8]Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi:
Practical Equivariances via Relational Conditional Neural Processes. CoRR abs/2306.10915 (2023) - 2022
- [j1]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(2): 4488-4495 (2022) - [i7]Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht:
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. CoRR abs/2207.05480 (2022) - [i6]Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki:
Co-Imitation: Learning Design and Behaviour by Imitation. CoRR abs/2209.01207 (2022) - 2021
- [i5]Kevin Sebastian Luck, Roberto Calandra, Michael N. Mistry:
What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks. CoRR abs/2111.02371 (2021) - 2020
- [i4]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. CoRR abs/2008.07682 (2020)
2010 – 2019
- 2019
- [c7]Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra:
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRL 2019: 854-869 - [c6]Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz:
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. IROS 2019: 3704-3711 - [i3]Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra:
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRR abs/1911.06832 (2019) - [i2]Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz:
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. CoRR abs/1911.06833 (2019) - 2017
- [c5]Kevin Sebastian Luck, Heni Ben Amor:
Extracting bimanual synergies with reinforcement learning. IROS 2017: 4805-4812 - [c4]Michael Andrew Jansen, Kevin Sebastian Luck, Joseph Campbell, Heni Ben Amor, Daniel M. Aukes:
Bio-inspired Robot Design Considering Load-Bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles. Living Machines 2017: 216-229 - [c3]Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen, Daniel Aukes, Heni Ben Amor:
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion. Robotics: Science and Systems 2017 - [i1]Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen, Daniel M. Aukes, Heni Ben Amor:
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion. CoRR abs/1706.01977 (2017) - 2016
- [c2]Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor:
Sparse Latent Space Policy Search. AAAI 2016: 1911-1918 - 2014
- [c1]Kevin Sebastian Luck, Gerhard Neumann, Erik Berger, Jan Peters, Heni Ben Amor:
Latent space policy search for robotics. IROS 2014: 1434-1440
Coauthor Index
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last updated on 2024-11-28 21:25 CET by the dblp team
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