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ORCIDOnur Celik
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2020 – today
- 2024
[c6]Onur Celik, Aleksandar Taranovic, Gerhard Neumann:
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts. ICML 2024- [i10]Onur Celik, Aleksandar Taranovic, Gerhard Neumann:
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts. CoRR abs/2403.06966 (2024) - [i9]Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
MaIL: Improving Imitation Learning with Mamba. CoRR abs/2406.08234 (2024) - [i8]Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov:
Variational Distillation of Diffusion Policies into Mixture of Experts. CoRR abs/2406.12538 (2024) - [i7]Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann:
MuTT: A Multimodal Trajectory Transformer for Robot Skills. CoRR abs/2407.15660 (2024) - 2023
- [c5]Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
Curriculum-Based Imitation of Versatile Skills. ICRA 2023: 2951-2957 - [c4]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills. NeurIPS 2023 - [i6]Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Xiling Li
, Rudolf Lioutikov, Gerhard Neumann:
Information Maximizing Curriculum: A Curriculum-Based Approach for Training Mixtures of Experts. CoRR abs/2303.15349 (2023) - [i5]Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann:
Curriculum-Based Imitation of Versatile Skills. CoRR abs/2304.05171 (2023) - [i4]Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann:
MP3: Movement Primitive-Based (Re-)Planning Policy. CoRR abs/2306.12729 (2023) - 2022
- [c3]Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL 2022: 1244-1265 - [i3]Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR abs/2210.09622 (2022) - 2021
- [c2]Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann:
Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRL 2021: 1423-1433 - [i2]Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann:
Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRR abs/2112.04216 (2021)
2010 – 2019
- 2019
- [c1]Onur Celik, Hany Abdulsamad, Jan Peters:
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. IROS 2019: 6828-6833 - [i1]Onur Celik, Hany Abdulsamad, Jan Peters:
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. CoRR abs/1906.11003 (2019)
Coauthor Index
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