Abstract: Learning from demonstrations is a paradigm by which an apprentice agent learns a control policy for a dynamic environment by observing demonstrations delivered by an expert agent. It is ...

These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.

Filip Sondej, Yushi Yang, Adam Mahdi Sum-of-Squares Degree Barriers for the Reweighted-Hinge Method in Robust Halfspace Learning: A Christoffel-Function Characterization Xiaoyu Li Loss Landscape ...