Abstract: System stabilization via policy gradient (PG) methods has drawn increasing attention in both control and machine learning communities. In this article, we study their convergence and sample ...

Abstract: Research indicates that perturbation analysis (PA), Markov decision processes (MDP), and reinforcement learning (RL) are three closely-related areas in discrete event dynamic system ...

Let S(A) denote the orbit of a complex or real matrix A under a certain equivalence relation such as unitary similarity, unitary equivalence, unitary congruences etc. Efficient gradient-flow ...

This is a preview. Log in through your library . Abstract The sparsity constrained rank-one matrix approximation problem is a difficult mathematical optimization problem which arises in a wide array ...