| ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models R Ma, J Luijkx, Z Ajanovic, J Kober arXiv preprint arXiv:2403.09583, 2024 | 5 | 2024 |
| PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning J Luijkx, Z Ajanovic, L Ferranti, J Kober arXiv preprint arXiv:2211.08304, 2022 | 5 | 2022 |
| Eagerx: Engine agnostic graph environments for robotics B van der Heijden, J Luijkx, L Ferranti, J Kober, R Babuska GitHub repository, 2022 | 3 | 2022 |
| Learning to estimate incipient slip with tactile sensing to gently grasp objects DJ Boonstra, L Willemet, J Luijkx, M Wiertlewski 2024 IEEE International Conference on Robotics and Automation (ICRA), 16118 …, 2024 | 1 | 2024 |
| EValueAction: a proposal for policy evaluation in simulation to support interactive imitation learning F Sibona, J Luijkx, B van der Heijden, L Ferranti, M Indri 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-6, 2023 | 1 | 2023 |
| Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning B van der Heijden, J Luijkx, L Ferranti, J Kober, R Babuska IEEE Robotics & Automation Magazine, 2024 | | 2024 |
| EAGERx: Graph-Based Framework for Sim2real Robot Learning B van der Heijden, J Luijkx, L Ferranti, J Kober, R Babuska arXiv preprint arXiv:2407.04328, 2024 | | 2024 |
| Robotic Grasping of Deformable Food Objects: A Human-Inspired Reinforcement Learning Approach J Luijkx | | 2020 |
Jens KoberAssociate Professor, CoR, TU DelftVerified email at tudelft.nl
