  We show the convergence of Wasserstein inverse reinforcement learning for
multi-objective optimizations with the projective subgradient method by
formulating an inverse problem of the multi-objective optimization problem. In
addition, we prove convergence of inverse reinforcement learning (maximum
entropy inverse reinforcement learning, guided cost learning) with gradient
descent and the projective subgradient method.
