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Philipp Becker — most-cited papers & profile · Reinforcement Learning
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·
overview
Philipp Becker
17
papers ·
41
citations
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Most-cited papers
Differentiable Trust Region Layers for Deep Reinforcement Learning
2021 · 6 citations
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
2022 · 3 citations
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
2025
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
2025
Versatile Inverse Reinforcement Learning via Cumulative Rewards
2021
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL
2023
Efficient Off-Policy Learning for High-Dimensional Action Spaces
2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
2024
PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds
2024
Top co-authors
Gerhard Neumann
· 8
Fabian Otto
· 4
Niklas Freymuth
· 3
Ngo Anh Vien
· 2
and Gerhard Neumann
· 1
Bal\'azs Gyenes
· 1
Hanna Carolin Ziesche
· 1
Huy Le
· 1
Nikolai Franke
· 1
Sebastian Mossburger
· 1
Serge Thilges
· 1
Tai Hoang
· 1
Topics
Model-Based RL
Policy Gradient
Exploration
Meta-RL
Offline RL
Value-Based
cs.LG
stat.ML
Safe RL