Kevin Sebastian Luck
Assistant Professor in Robot Learning & Reinforcement Learning
Computational Intelligence Group @ Vrije Universiteit Amsterdam
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
May 05, 2024 | I am a recipient of the NWO AIned XS grant provided by the Dutch Research Council and the AIned Foundation. In this projct we will be developing new methods using Large Language Models for policy generation for real-world robotics. Sounds interesting? Keep a look out for our postdoc advertisement and more details in the near future! |
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May 05, 2024 | I will be giving an invited talk about our research on co-adapting robot morphology and behaviour with reinforcement learning at the EARL workshop. Are you also working on Co-Adaptation/Co-Design of robots or evolutionary robots? Consider submitting a workshop paper and let’s chat at R:SS 2024 in Delft, The Netherlands! |
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. |