Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes

Joe Watson, Jan Peters

Monte Carlo methods have become increasingly relevant for control of non-differentiable systems, approximate dynamics models and learning from data. These methods scale to high-dim…