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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
收藏  |  浏览/下载：206/0  |  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  
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 879-892
作者:  Wei, Qinglai;  Zhu, Liao;  Song, Ruizhuo;  Zhang, Pinjia;  Liu, Derong;  Xiao, Jun
收藏  |  浏览/下载：247/0  |  提交时间：2022/03/17
Heuristic algorithms  Nonlinear systems  Optimal control  Mathematical model  Dynamic programming  Games  Adaptive systems  Adaptive dynamic programming (ADP)  globalized dual-heuristic dynamic programming (GDHP)  multiplayer nonzero-sum game (MP-NZSG)  neural network (NN)  
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
收藏  |  浏览/下载：173/0  |  提交时间：2022/01/27
Process control  Control systems  Optimal control  Maximum likelihood estimation  Performance analysis  Dynamic programming  Nonlinear systems  Maximum likelihood estimation (MLE)  nonlinear systems  optimal control  Poisson process  spike train  spiking adaptive dynamic programming (SADP)