Humanoids

A talk about how hierarchical acquisition functions can improve the performance of Bayesian Optimization on complex problems.

Learning control policies in robotic tasks requires a large number of interactions due to small learning rates, bounds on the updates or unknown constraints. In contrast humans can infer protective and safe solutions after a single failure or …