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Thomas Runkler — most-cited papers & profile · Large Language Models
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overview
Thomas Runkler
14
papers ·
52
citations ·
0
h-index
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Most-cited papers
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning
2022 · 24 citations
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning
2019 · 5 citations
Behavior Constraining in Weight Space for Offline Reinforcement Learning
2021 · 4 citations
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
2021 · 4 citations
User-Interactive Offline Reinforcement Learning
2022 · 3 citations
The Few-shot Dilemma: Over-prompting Large Language Models
2025
Is Q-learning an Ill-posed Problem?
2025
Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies
2016
Data Association with Gaussian Processes
2018
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning
2020
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods
2022
Automatic Trade-off Adaptation in Offline RL
2023
Top co-authors
Yongjian Tang
· 2
Christian Koerner
· 1
Doruk Tuncel
· 1
Rakebul Hasan
· 1
Topics
Offline RL
Model-Based RL
Safe RL
Value-Based
Code Models
Software Engineering
stat.AP
stat.ML
Malware Detection
Anomaly Detection