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Gerhard Neumann — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Gerhard Neumann
38
papers ·
347
citations ·
43
h-index
Karlsruhe Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning for Swarm Systems
2018 · 153 citations
Guided Deep Reinforcement Learning for Swarm Systems
2017 · 100 citations
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
2016 · 19 citations
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
2021 · 10 citations
Deep Black-Box Reinforcement Learning with Movement Primitives
2022 · 5 citations
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
2022 · 3 citations
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
2024 · 2 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
Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns
2025
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
2025
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
2025
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning
2017
Differentiable Robust LQR Layers
2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards
2021
Top co-authors
Fabian Otto
· 6
Onur Celik
· 5
Philipp Becker
· 5
Hongyi Zhou
· 4
Ngo Anh Vien
· 4
Niklas Freymuth
· 4
Ge Li
· 3
Philipp Becker
· 3
Rudolf Lioutikov
· 3
Adrian Šošić
· 2
Dong Tian
· 2
Hanna Ziesche
· 2
Topics
Model-Based RL
Policy Gradient
Value-Based
Exploration
Safe RL
Meta-RL
Offline RL
Multi-Agent
RLHF & Alignment