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Safe Risk-averse Bayesian Optimization for Controller Tuning
Controller tuning and parameter optimization are crucial in system design to improve both the controller and underlying system performance.
Meta-Learning Priors for Safe Bayesian Optimization
In the presence of unknown safety constraints, it is crucial to choose reliable model hyper-parameters to avoid safety violations.
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