Global Safe Sequential Learning via Efficient Knowledge Transfer

1 code implementation • 22 Feb 2024 • Cen-You Li, Olaf Duennbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer

As transferable source knowledge is often available in safety critical experiments, we propose to consider transfer safe sequential learning to accelerate the learning of safety.

Active Learning Bayesian Optimization +2

Traversing Time with Multi-Resolution Gaussian Process State-Space Models

no code implementations • 6 Dec 2021 • Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch

These models have a natural interpretation as discretized stochastic differential equations, but inference for long sequences with fast and slow transitions is difficult.