Kevin Sebastian Luck

Assistant Professor in Robot Learning & Reinforcement Learning
Computational Intelligence Group @ Vrije Universiteit Amsterdam

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Kevin Sebastian Luck

Assistant Professor

I am an Assistant Professor in the Computatioal Intelligence Group at the Vrije Universiteit Amsterdam. Here, I am working on multiple different topics in the field of robot learning, primarily in the area of deep reinforcement learning.

One area of particular interest of mine is the combination of deep reinforcement learning with evolutionary principles, for the development of AI-assisted design methodologies and physical/embodied intelligence, to allow robots to co-adapt both their behaviour and morpoholgy.

Before I joined Amsterdam I worked as postdoctoral researcher at the Aalto University and the Finnish Center for Artificial Intelligence in Espoo (Helsinki), Finland, where I am/was hosted by the Intelligent Robotics Group of Ville Kyrki.

Keywords: (Deep) Reinforcement Learning, Robot Learning, Embodied Intelligence, Evolving Robots

news

Feb 16, 2024 Maria Sliacka’s paper about Co-Imagination, model-based Co-Design of agent’s body and behaviour with dreaming/data-augmentation, is published by Springer. Congratulations!
Feb 01, 2024 I will be Editor for the IEEE International Conference on Intelligent Robotics and Systems (IROS) 2024
Nov 20, 2023 Currently evaluating reinforcement learning on biological systems: I am on parental leave until February 2024
Nov 15, 2023 I am one of three finalists for the Outstanding Associate Editor Award at the IEEE International Conference on Intelligent Robotics and Systems 20203
Sep 20, 2023 Our papers on disentangled representations for RL and Equivariances in Neural Processes got accepted to NeurIPS 2023!
Sep 20, 2023 I presented our paper on Model-Based Co-Adaptation at LOD 2023
Sep 08, 2023 I am a co-organizer of the ELLIS Robust ML Workshop.
Sep 07, 2023 I joined the ELLIS society (European Laboratory for Learning and Intelligent Systems).
Sep 01, 2023 I started my new position as Assistant Professor of Computational Intelligence at the Vrije Universiteit Amsterdam in the Netherlands.
Apr 07, 2023 We are going to present our paper Co-Imitation: Learning Design and Behaviour by Imitation at AAAI-23 in Washington DC. Visit our oral talk in the HAI: Human-in-the-Loop Machine Learning track at 2PM, or visit us at poster 166 on Thursday, 9th of February.
Feb 10, 2023 We are going to present our paper Co-Imitation: Learning Design and Behaviour by Imitation at AAAI-23 in Washington DC. Visit our oral talk in the HAI: Human-in-the-Loop Machine Learning track at 2PM, or visit us at poster 166 on Thursday, 9th of February.
Jan 07, 2023 Our paper about learning disentangled embeddings with Mhairi Dunion Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning was accepted for ICLR 2023!
Dec 12, 2022 I gave an invited talk about our work in the area of co-adaptation of robot morphology and behaviour at the AI Initiave at KAUST, Saudi Arabia.
Dec 01, 2022 Visit our posters at the NeurIPS workshop for Deep Reinforcement Learning 2022, with Mhairi Dunion and Chang Rajani presenting their PhD work!
Nov 01, 2022 I presented out research about evolving robots and latent embeddings together with Mhairi Dunion at the Finnish AI Day in two oral talks.

selected publications

  1. Sparse latent space policy search
    Kevin Sebastian Luck ,  Joni Pajarinen ,  Erik Berger ,  Ville Kyrki ,  and  Heni Ben Amor
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2016
  2. From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion
    Kevin Sebastian Luck ,  Joseph Campbell ,  Michael Jansen ,  Daniel Aukes ,  and  Heni Ben Amor
    In Proceedings of Robotics: Science and Systems , Jul 2017
  3. Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
    Kevin Sebastian Luck ,  Heni Ben Amor ,  and  Roberto Calandra
    In Proceedings of the Conference on Robot Learning , 30 oct–01 nov 2020
  4. Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
    Mhairi Dunion ,  Trevor McInroe ,  Kevin Sebastian Luck ,  Josiah P. Hanna ,  and  Stefano V Albrecht
    In Thirty-seventh Conference on Neural Information Processing Systems , 30 oct–01 nov 2023
  5. Co-imitation: learning design and behaviour by imitation
    Chang Rajani ,  Karol Arndt ,  David Blanco-Mulero ,  Kevin Sebastian Luck ,  and  Ville Kyrki
    In Proceedings of the AAAI Conference on Artificial Intelligence , 30 oct–01 nov 2023