Gaussian Process

A non-parametric probabilistic model that defines a distribution over functions, fully specified by a mean function and a kernel (covariance function). GPs are used in robotics for Bayesian optimization of controller parameters, model-based RL with uncertainty estimation, and safe exploration. They provide well-calibrated uncertainty estimates but scale poorly to large datasets (O(n³) training).