Abstract: This brief studies the discounted stochastic linear quadratic regulator (LQR) problem for systems suffering from additive noise of unknown mean. A completely model-free (MF) value iteration ...

Abstract: In recent years, a large number of studies have shown that low rank matrix learning (LRML) has become a popular approach in machine learning and computer vision with many important ...