Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves

Armin Lederer, Jonas Umlauft, Sandra Hirche

The posterior variance of Gaussian processes is a valuable measure of the learning error which is exploited in various applications such as safe reinforcement learning and control…