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Onur Celik
Onur Celik
PhD Student, Karlsruhe Institute of Technology (KIT)
Verified email at kit.edu - Homepage
Title
Cited by
Cited by
Year
Specializing Versatile Skill Libraries using Local Mixture of Experts
O Celik, D Zhou, G Li, P Becker, G Neumann
5th Annual Conference on Robot Learning, 2021
342021
Deep black-box reinforcement learning with movement primitives
F Otto, O Celik, H Zhou, H Ziesche, VA Ngo, G Neumann
Conference on Robot Learning, 1244-1265, 2023
202023
Information maximizing curriculum: A curriculum-based approach for learning versatile skills
D Blessing, O Celik, X Jia, M Reuss, M Li, R Lioutikov, G Neumann
Advances in Neural Information Processing Systems 36, 2024
10*2024
Chance-constrained trajectory optimization for non-linear systems with unknown stochastic dynamics
O Celik, H Abdulsamad, J Peters
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
102019
Mp3: Movement primitive-based (re-) planning policy
F Otto, H Zhou, O Celik, G Li, R Lioutikov, G Neumann
arXiv preprint arXiv:2306.12729, 2023
52023
Curriculum-based imitation of versatile skills
MX Li, O Celik, P Becker, D Blessing, R Lioutikov, G Neumann
2023 IEEE International Conference on Robotics and Automation (ICRA), 2951-2957, 2023
32023
MaIL: Improving Imitation Learning with Mamba
X Jia, Q Wang, A Donat, B Xing, G Li, H Zhou, O Celik, D Blessing, ...
arXiv preprint arXiv:2406.08234, 2024
22024
MuTT: A Multimodal Trajectory Transformer for Robot Skills
C Kienle, B Alt, O Celik, P Becker, D Katic, R Jäkel, G Neumann
arXiv preprint arXiv:2407.15660, 2024
12024
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
O Celik, A Taranovic, G Neumann
arXiv preprint arXiv:2403.06966, 2024
12024
Air Hockey Challenge 2023: Air-HocKIT Team Report
M de Bakker3Atalay, DOE Yagmurlu, Y MFZJD, H Zhou, X Jia, O Celik, ...
Air Hockey Challenge at Advances in neural information processing systems, 2023
12023
Variational Distillation of Diffusion Policies into Mixture of Experts
H Zhou, D Blessing, G Li, O Celik, X Jia, G Neumann, R Lioutikov
arXiv preprint arXiv:2406.12538, 2024
2024
MaIL: Improving Imitation Learning with Selective State Space Models
X Jia, Q Wang, A Donat, B Xing, G Li, H Zhou, O Celik, D Blessing, ...
8th Annual Conference on Robot Learning, 0
Reinforcement Learning of Diverse Skills using Mixture of Deep Experts
O Celik, G Neumann
MP3: Movement Primitive-Based (Re-) Planning Policy
H Zhou, F Otto, O Celik, G Li, R Lioutikov, G Neumann
CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 0
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