Kevin Sebastian Luck

30 papers A* 6A 4Misc 2Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TeNet: Text-to-Network for Compact Policy Synthesis. CoRR Ariyan Bighashdel, Kevin Sebastian Luck
2025	A	`conf`	Co-Adaptation of Embodiment and Control with Self-Imitation Learning. IROS Sergio Hernández-Gutiérrez, Ville Kyrki, Kevin Sebastian Luck
2025	A*	`conf`	Discrete Codebook World Models for Continuous Control. ICLR Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	J	`jnl`	Discrete Codebook World Models for Continuous Control. CoRR Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	J	`jnl`	MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects. CoRR Yuying Zhang, Kevin Sebastian Luck, Francesco Verdoja, Ville Kyrki, Joni Pajarinen
2025	J	`jnl`	Virtual Laboratories: Domain-agnostic workflows for research. CoRR Carlos Sevilla-Salcedo, Armi Tiihonen, Mahsa Asadi, Kevin Sebastian Luck, Aras Umut Erarslan, Arto Klami, Samuel Kaski
2024	Misc	`conf`	Learning Transparent Reward Models via Unsupervised Feature Selection. CoRL Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck, Ville Kyrki
2024	J	`jnl`	Learning Transparent Reward Models via Unsupervised Feature Selection. CoRR Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck, Ville Kyrki
2023	—	`conf`	Co-imagination of Behaviour and Morphology of Agents. LOD (1) Maria Sliacka, Michael N. Mistry, Roberto Calandra, Ville Kyrki, Kevin Sebastian Luck
2023	A*	`conf`	Co-imitation: Learning Design and Behaviour by Imitation. AAAI Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki
2023	A*	`conf`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. NeurIPS Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2023	J	`jnl`	Conditional Mutual Information for Disentangled Representations in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2023	A*	`conf`	Practical Equivariances via Relational Conditional Neural Processes. NeurIPS Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023	J	`jnl`	Practical Equivariances via Relational Conditional Neural Processes. CoRR Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023	A*	`conf`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. ICLR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah P. Hanna, Stefano V. Albrecht
2022	J	`jnl`	Co-Imitation: Learning Design and Behaviour by Imitation. CoRR Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki
2022	J	`jnl`	Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
2022	J	`jnl`	Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning. CoRR Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano V. Albrecht
2021	J	`jnl`	What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks. CoRR Kevin Sebastian Luck, Roberto Calandra, Michael N. Mistry
2020	J	`jnl`	Residual Learning from Demonstration. CoRR Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy
2019	Misc	`conf`	Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRL Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
2019	J	`jnl`	Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. CoRR Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
2019	A	`conf`	Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. IROS Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
2019	J	`jnl`	Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient. CoRR Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz
2017	—	`conf`	Bio-inspired Robot Design Considering Load-Bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles. Living Machines Michael Andrew Jansen, Kevin Sebastian Luck, Joseph Campbell, Heni Ben Amor, Daniel M. Aukes
2017	A	`conf`	Extracting bimanual synergies with reinforcement learning. IROS Kevin Sebastian Luck, Heni Ben Amor
2017	—	`conf`	From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion. Robotics: Science and Systems Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen, Daniel Aukes, Heni Ben Amor
2017	J	`jnl`	From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion. CoRR Kevin Sebastian Luck, Joseph Campbell, Michael Andrew Jansen, Daniel M. Aukes, Heni Ben Amor
2016	A*	`conf`	Sparse Latent Space Policy Search. AAAI Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor
2014	A	`conf`	Latent space policy search for robotics. IROS Kevin Sebastian Luck, Gerhard Neumann, Erik Berger, Jan Peters, Heni Ben Amor