Fabian Otto - RankMe

18 papers A* 5Misc 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning. CoRR Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Erdinç Yagmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov
2025	A*	`conf`	Efficient Off-Policy Learning for High-Dimensional Action Spaces. ICLR Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies. CoRR Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yagmurlu, Fabian Otto, Rudolf Lioutikov
2025	A*	`conf`	Robust Optical Transceiver Manipulation in Cluttered Cable Environments Using 3D Scene Understanding and Planning. ICRA Iason Sarantopoulos, Chenyu Liu, Bohong Weng, Sicheng Xu, Yizhong Zhang, Jiaolong Yang, Xin Tong, Fabian Otto, David Sweeney, Andromachi Chatzieleftheriou, Antony I. T. Rowstron
2025	J	`jnl`	TROLL: Trust Regions improve Reinforcement Learning for Large Language Models. CoRR Philipp Becker, Niklas Freymuth, Serge Thilges, Fabian Otto, Gerhard Neumann
2024	J	`jnl`	Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL. RLJ Philipp Becker, Sebastian Mossburger, Fabian Otto, Gerhard Neumann
2024	A*	`conf`	Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. ICLR Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
2024	J	`jnl`	Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. CoRR Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
2024	J	`jnl`	Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2023	A*	`conf`	Attitudes towards Client-Side Scanning for CSAM, Terrorism, Drug Trafficking, Drug Use and Tax Evasion in Germany. SP Lisa Geierhaas, Fabian Otto, Maximilian Häring, Matthew Smith
2023	J	`jnl`	MP3: Movement Primitive-Based (Re-)Planning Policy. CoRR Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann
2023	J	`jnl`	ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. IEEE Robotics Autom. Lett. Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
2023	J	`jnl`	Reinforcement Learning from Multiple Sensors via Joint Representations. CoRR Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann
2022	Misc	`conf`	Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
2022	J	`jnl`	Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
2022	J	`jnl`	ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. CoRR Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
2021	A*	`conf`	Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
2021	J	`jnl`	Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann