Differentiable Trust Region Layers for Deep Reinforcement Learning. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Hanna Carolin Maria Ziesche; Gerhard Neumann (ICLR, 2021)

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

ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. - Ge Li; Zeqi Jin; Michael Volpp; Fabian Otto; Rudolf Lioutikov; Gerhard Neumann (CoRR, 2022)

Attitudes towards Client-Side Scanning for CSAM, Terrorism, Drug Trafficking, Drug Use and Tax Evasion in Germany. - Lisa Geierhaas; Fabian Otto; Maximilian Häring; Matthew Smith 001 (SP, 2023)

Reinforcement Learning from Multiple Sensors via Joint Representations. - Philipp Becker; Sebastian Markgraf; Fabian Otto; Gerhard Neumann (CoRR, 2023)

MP3: Movement Primitive-Based (Re-)Planning Policy. - Fabian Otto; Hongyi Zhou; Onur Celik; Ge Li; Rudolf Lioutikov; Gerhard Neumann (CoRR, 2023)

ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. - Ge Li; Zeqi Jin; Michael Volpp; Fabian Otto; Rudolf Lioutikov; Gerhard Neumann (IEEE Robotics Autom. Lett., 2023)

Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. - Ge Li; Hongyi Zhou; Dominik Roth; Serge Thilges; Fabian Otto; Rudolf Lioutikov; Gerhard Neumann (ICLR, 2024)

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL. - Philipp Becker; Sebastian Mossburger; Fabian Otto; Gerhard Neumann (RLJ, 2024)

Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Gerhard Neumann (CoRR, 2024)

Efficient Off-Policy Learning for High-Dimensional Action Spaces. - Fabian Otto; Philipp Becker; Ngo Anh Vien; Gerhard Neumann (ICLR, 2025)

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning. - 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; et al. (CoRR, 2025)