Search Results for author: Clemens Otte

Found 5 papers, 2 papers with code

Bayesian Alignments of Warped Multi-Output Gaussian Processes

no code implementations NeurIPS 2018 Markus Kaiser, Clemens Otte, Thomas Runkler, Carl Henrik Ek

We apply the method to the real-world problem of finding common structure in the sensor data of wind turbines introduced by the underlying latent and turbulent wind field.

Gaussian Processes Time Series +1

Data Association with Gaussian Processes

no code implementations16 Oct 2018 Markus Kaiser, Clemens Otte, Thomas Runkler, Carl Henrik Ek

The data association problem is concerned with separating data coming from different generating processes, for example when data come from different data sources, contain significant noise, or exhibit multimodality.

Gaussian Processes Variational Inference

Safe Policy Improvement Approaches on Discrete Markov Decision Processes

1 code implementation28 Jan 2022 Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft

Safe Policy Improvement (SPI) aims at provable guarantees that a learned policy is at least approximately as good as a given baseline policy.

Safe Policy Improvement Approaches and their Limitations

1 code implementation1 Aug 2022 Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft

Based on this finding, we develop adaptations, the Adv-Soft-SPIBB algorithms, and show that they are provably safe.

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