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Fabian Otto — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Fabian Otto
7
papers ·
12
citations ·
5
h-index
Microsoft Research (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Differentiable Trust Region Layers for Deep Reinforcement Learning
2021 · 6 citations
Deep Black-Box Reinforcement Learning with Movement Primitives
2022 · 5 citations
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
2024 · 1 citations
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
2025
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
2023
MP3: Movement Primitive-Based (Re-)Planning Policy
2023
Efficient Off-Policy Learning for High-Dimensional Action Spaces
2024
Top co-authors
Gerhard Neumann
· 6
Hongyi Zhou
· 3
Ge Li
· 2
Ngo Anh Vien
· 2
Onur Celik
· 2
Philipp Becker
· 2
Philipp Becker
· 2
Rudolf Lioutikov
· 2
Serge Thilges
· 2
and Gerhard Neumann
· 1
Dominik Roth
· 1
Hanna Carolin Ziesche
· 1
Topics
Policy Gradient
Model-Based RL
Exploration
Safe RL
Meta-RL
Value-Based
RLHF & Alignment
Offline RL