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Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2838Kb)  |  收藏  |  浏览/下载：237/7  |  提交时间：2022/06/10
Games  Nash equilibrium  Mathematical model  Markov processes  Convergence  Dynamic programming  Training  Deep reinforcement learning (DRL)  generalized policy iteration (GPI)  Markov game (MG)  Nash equilibrium  Q network  zero sum  
Finite-Time Stability Control of Uncertain Nonlinear Systems With Self-Limiting Control Terms 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 6
作者:  Zhu, Jiaming;  Yang, Yuequan;  Zhang, Tianping;  Cao, Zhiqiang
收藏  |  浏览/下载：251/0  |  提交时间：2022/06/06
Artificial neural networks  Nonlinear systems  Control systems  Adaptive systems  Backstepping  Biological neural networks  Trajectory  Backstepping  dynamic surface control (DSC)  finite-time tracking  neural network (NN)  self-limiting term