研究论文

Asynchronous iterative Q-learning based tracking control for nonlinear discrete-time multi-agent systems

Ziwen Shen, Tao Dong, Tingwen Huang

Southwest University　Shenzhen University　Shenzhen Technology University

来源Neural Networks

年份2024

DOI10.1016/j.neunet.2024.106667

原文https://doi.org/10.1016/j.neunet.2024.106667

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学术脉络

学科主题

计算机 / AI

Adaptive Dynamic Programming Control

Iterative Learning Control Systems · Adaptive Control of Nonlinear Systems

参考文献 35

A parallel framework for Bayesian reinforcement learning

Enda Barrett, Jim Duggan, Enda Howley · Connection Science · 2014

被引 12

Distributed multi-step Q(λ) learning for Optimal Power Flow of large-scale power grids

Tao Yu, J. Liu, Ka Wing Chan · International Journal of Electrical Power & Energy Systems · 2012

被引 22

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver · Proceedings of the AAAI Conference on Artificial Intelligence · 2016

被引 3,522

此处列出前 3 条

施引文献 4

Data-driven bipartite synchronization control of multi-agent systems with asymmetric input saturation over switching networks

Ziwen Shen, Tao Dong, Tingwen Huang · Applied Mathematics and Computation · 2025

被引 1

Model-free reinforcement learning control with zero-min barrier functions for constrained systems

Chidentree Treesatayapun · Neural Networks · 2025