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Stefan Wermter — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Stefan Wermter
33
papers ·
98
citations ·
43
h-index
Universität Hamburg · Hamburg University of Technology
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
2018 · 20 citations
Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning
2023 · 13 citations
Hierarchical principles of embodied reinforcement learning: A review
2020 · 5 citations
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning
2023 · 4 citations
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
2022 · 2 citations
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
2019 · 1 citations
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
2020 · 1 citations
Internally Rewarded Reinforcement Learning
2023 · 1 citations
Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models
2023 · 1 citations
QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-Learning
2024 · 1 citations
Causal State Distillation For Explainable Reinforcement Learning
2023
Mental Modeling Of Reinforcement Learning Agents By Language Models
2024
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving
2019
Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning
2021
A Closer Look at Reward Decomposition for High-Level Robotic Explanations
2023
Top co-authors
Cornelius Weber
· 6
Xufeng Zhao
· 6
Manfred Eppe
· 4
Matthias Kerzel
· 3
Mengdi Li
· 3
Muhammad Burhan Hafez
· 3
Wenhao Lu
· 3
Jae Hee Lee
· 2
Phuong D.H. Nguyen
· 2
Sven Magg
· 2
Thilo Fryen
· 2
Aaron Pereira
· 1
Topics
Model-Based RL
RLHF & Alignment
Exploration
Value-Based
Meta-RL
Multi-Agent
Safe RL
Policy Gradient
Offline RL