Abstract: The Kleinman iteration is a policy iteration method for solving Riccati equations and forms the basis of many reinforcement learning (RL) algorithms. However, its direct application to ...
Streaming platforms promise to learn what viewers love and serve it back to them, but a growing body of peer-reviewed research suggests the same recommendation engines designed to keep audiences ...
Abstract: The total least squares (TLS) algorithm is a superior identification tool for low-order errors-in-variables (EIV) systems, where the estimate can be obtained by solving an eigenvector of the ...