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Jelle Luijkx
Jelle Luijkx
PhD Candidate, Department of Cognitive Robotics, TU Delft
Geverifieerd e-mailadres voor tudelft.nl
Titel
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ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
R Ma, J Luijkx, Z Ajanovic, J Kober
arXiv preprint arXiv:2403.09583, 2024
72024
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
J Luijkx, Z Ajanovic, L Ferranti, J Kober
arXiv preprint arXiv:2211.08304, 2022
52022
Eagerx: Engine agnostic graph environments for robotics
B van der Heijden, J Luijkx, L Ferranti, J Kober, R Babuska
GitHub repository, 2022
32022
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
12024
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
12023
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
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Artikelen 1–8