SafeOpt: Safe Bayesian Optimization. This code implements an adapted version of the safe, Bayesian optimization algorithm, SafeOpt , . It also provides a more scalable implementation based on  as well as an implementation for the original algorithm in . The code can be used to automatically optimize a performance measures subject to a safety constraint by adapting parameters.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Stefan Heid; Daniel Weber; Henrik Bode; Eyke Hüllermeier; Oliver Wallscheid: OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control (2020) not zbMATH
- Schulz, Eric; Speekenbrink, Maarten; Krause, Andreas: A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions (2018)