Mar 18, 2025 · Dynamic Programming is an algorithmic technique with the following properties. It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has …

Adaptive dynamic programming (ADP), also known as approximate dynamic programming, neuro-dynamic programming, and reinforcement learning (RL), is a class of promising techniques to …

Approximate Dynamic Programming (ADP), also sometimes referred to as neuro-dynamic programming, attempts to overcome the limitations of value iteration in large state spaces …

Jan 2, 2023 · Welcome to the webpage of the book "Robust Adaptive Dynamic Programming", written by Yu Jiang and Zhong-Ping Jiang. This webpage is created to provide lastest news …

Apr 1, 2013 · Adaptive dynamic programming (ADP) is a novel approximate optimal control scheme, which has recently become a hot topic in the field of optimal control. As a standard …

• demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and • …

This article develops a novel online adaptive dynamic programming algorithm with adjustable convergence rate to address the optimal control problem of nonlinear systems. Relaxation …

Adaptive dynamic programming is the problem of finding an optimal (or nearly optimal) control policy for a (discrete time) valuated stochastic process whose local rewards and transitions …

In this paper, the adaptive dynamic programming (ADP) approach is employed for designing an optimal controller of unknown discrete-time nonlinear systems with control constraints. A …

Apr 24, 2009 · In this article, we introduce some recent research trends within the field of adaptive/approximate dynamic programming (ADP), including the variations on the structure of …