Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties

Marco Alonso
Marco Alonso
Baumann Dominik
Baumann Dominik
Cited by: 0|Views18

Abstract:

Learning robot controllers by minimizing a black-box objective cost using Bayesian optimization (BO) can be time-consuming and challenging. It is very often the case that some roll-outs result in failure behaviors, causing premature experiment detention. In such cases, the designer is forced to decide on heuristic cost penalties because...More

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