Celik, Onur

11 publications

ICML 2025 DIME: Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

ICLRW 2025 Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

NeurIPS 2025 Scaffolding Dexterous Manipulation with Vision-Language Models Vincent de Bakker, Joey Hejna, Tyler Ga Wei Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing, Gerhard Neumann, Jeannette Bohg, Dorsa Sadigh

ICML 2024 Acquiring Diverse Skills Using Curriculum Reinforcement Learning with Mixture of Experts Onur Celik, Aleksandar Taranovic, Gerhard Neumann

ICMLW 2024 Acquiring Diverse Skills Using Curriculum Reinforcement Learning with Mixture of Experts Onur Celik, Aleksandar Taranovic, Gerhard Neumann

CoRL 2024 MaIL: Improving Imitation Learning with Selective State Space Models Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

NeurIPS 2024 Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

NeurIPS 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills Denis Blessing, Onur Celik, Xiaogang Jia, Moritz Reuss, Maximilian Li, Rudolf Lioutikov, Gerhard Neumann

NeurIPSW 2023 Reinforcement Learning of Diverse Skills Using Mixture of Deep Experts Onur Celik, Aleksandar Taranovic, Gerhard Neumann

CoRL 2022 Deep Black-Box Reinforcement Learning with Movement Primitives Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Vien Anh Ngo, Gerhard Neumann

CoRL 2021 Specializing Versatile Skill Libraries Using Local Mixture of Experts Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann