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RISImproving Reinforcement Learning Value Iterations in Discrete-Time Linear-Quadratic Optimal Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. The paper demonstrates via simulation that the well-known value iteration algorithm of reinforcement learning for the discrete-time linear-quadratic optimal control problem converges very slowly—at most linearly. ...
A New Adaptive Dynamic Programming Reinforcement Learning Method for Discrete-Time Linear-Quadratic Optimal Control Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. In this article, we present a new policy iteration approach to solve the linear-quadratic (LQ) optimal control problem for infinite horizon discrete-time dynamic systems under the assumption that the system input ...