2019
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection
IROS 2019poster
Bayesian Optimization (BO) is an effective method for optimizing expensive-to-evaluate black-box functions with a wide range of applications for example in robotics, system design and parameter optimization. However, scaling BO to problems with large input dimensions (>10) remains an open challenge.…