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Niko Sünderhauf — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Niko Sünderhauf
12
papers ·
28
citations
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Most-cited papers
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
2021 · 7 citations
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
2022 · 5 citations
Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer
2020 · 3 citations
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
2021 · 1 citations
Sim-to-Real Transfer of Robot Learning with Variable Length Inputs
2018
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments
2019
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments
2023
Top co-authors
Krishan Rana
· 6
Michael Milford
· 5
Vibhavari Dasagi
· 5
Ben Talbot
· 4
Jesse Haviland
· 2
Brendan Tidd
· 1
Federico Ceola
· 1
Jake Bruce
· 1
Jurgen Leitner
· 1
Lorenzo Natale
· 1
Ming Xu
· 1
Robert Lee
· 1
Topics
Model-Based RL
Exploration
Safe RL
Meta-RL
Offline RL