Thomas Runkler

Identifiers

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Papers (6)

1. Interpretable Dynamics Models for Data-Efficient Reinforcement Learning cs.LG · 2019 · author #3
2. Data Association with Gaussian Processes stat.ML · 2018 · author #3
3. Neural Relation Extraction Within and Across Sentence Boundaries cs.CL · 2018 · author #5
4. Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks stat.ML · 2017 · author #4
5. Bayesian Alignments of Warped Multi-Output Gaussian Processes stat.ML · 2017 · author #3
6. Particle Swarm Optimization for Generating Interpretable Fuzzy Reinforcement Learning Policies cs.NE · 2016 · author #3

Mentions

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Frequent Coauthors

• Carl Henrik Ek 3 shared papers
• Clemens Otte 3 shared papers
• Markus Kaiser 3 shared papers
• Steffen Udluft 2 shared papers
• Alexander Hentschel 1 shared papers
• Bernt Andrassy 1 shared papers
• Daniel Hein 1 shared papers
• Hinrich Sch\"utze 1 shared papers
• Jos\'e Miguel Hern\'andez-Lobato 1 shared papers
• Pankaj Gupta 1 shared papers
• Stefan Depeweg 1 shared papers
• Subburam Rajaram 1 shared papers