Infeasible optimization problems and the hierarchical augmented Lagrangian method in imitation learning

Roland Andrews, Justin Carpentier, Ajay Sathya

Imitation learning (IL) is an effective approach to train complex robotics policies. Recent works have introduced hard constraints into imitation-learning optimization problems to…