Fabian Otto

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Function Approximation

Reinforcement Learning

Top Venues

IEEE Robotics Autom. Lett.

Publications

Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. CoRR (2024)
Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning. ICLR (2024)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR (2024)
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. IEEE Robotics Autom. Lett. 8 (4) (2023)
Fabian Otto, Hongyi Zhou, Onur Celik, Ge Li, Rudolf Lioutikov, Gerhard Neumann
MP3: Movement Primitive-Based (Re-)Planning Policy. CoRR (2023)
Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann
Reinforcement Learning from Multiple Sensors via Joint Representations. CoRR (2023)
Lisa Geierhaas, Fabian Otto, Maximilian Häring, Matthew Smith
Attitudes towards Client-Side Scanning for CSAM, Terrorism, Drug Trafficking, Drug Use and Tax Evasion in Germany. SP (2023)
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRL (2022)
Fabian Otto, Onur Celik, Hongyi Zhou, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann
Deep Black-Box Reinforcement Learning with Movement Primitives. CoRR (2022)
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. CoRR (2022)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR (2021)