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	Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文 NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299 作者: Zhu, Liao; Guo, Ping; Wei, Qinglai 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/21 H. control Nonlinear systems Adaptive dynamic programming Temporal difference Neural network Data-driven
	Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12 作者: Zhang, Yong; Mu, Chaoxu; Zhao, Dongbin 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/11/16 Data models Real-time systems Heuristic algorithms Mathematical models Adaptation models Approximation algorithms Cost function Data generation model feedback relearning control delayed neural network reinforcement learning unmodeled nonlinear system
	Approximate Dynamic Programming for Event-Driven H-8 Constrained Control 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 11 作者: Yang, Xiong; Xu, Mengmeng; Wei, Qinglai 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/17 Approximate dynamic programming (ADP) event-driven control H(8)control input constraint optimal control
	A Parallel Control Method For Zero-Sum Games With Unknown Time-varying System 期刊论文 The International Journal of Intelligent Control and Systems, 2023, 页码: 5页作者: Qinglai Wei; Zhenhua Zhu; Jie Zhang; Feiyue Wang 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/12/15
	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：14/0 \| 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
	Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control 期刊论文 INFORMATION SCIENCES, 2022, 卷号: 584, 页码: 519-535 作者: Lu, Jingwei; Wei, Qinglai; Wang, Ziyang; Zhou, Tianmin; Wang, Fei-Yue 收藏 \| 浏览/下载：36/0 \| 提交时间：2021/12/28 Event-triggered Non-zero-sum games Parallel control Neural network Adaptive dynamic programming
	Multiagent Adversarial Collaborative Learning via Mean-Field Theory 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 10, 页码: 4994-5007 作者: Luo, Guiyang; Zhang, Hui; He, Haibo; Li, Jinglin; Wang, Fei-Yue 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/12/28 Games Training Collaborative work Task analysis Nash equilibrium Sociology Statistics Adversarial collaborative learning (ACL) friend-or-foe Q-learning mean-field theory multiagent reinforcement learning (MARL)
	Discrete-Time Non-Zero-Sum Games With Completely Unknown Dynamics 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 6, 页码: 2929-2943 作者: Song, Ruizhuo; Wei, Qinglai; Zhang, Huaguang; Lewis, Frank L. 收藏 \| 浏览/下载：45/0 \| 提交时间：2021/08/15 Adaptive critic designs adaptive dynamic programming approximate dynamic programming discrete-time nonzero-sum (NZS) off-policy reinforcement learning (RL)
	Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 5, 页码: 2372-2383 作者: Wei, Qinglai; Li, Hongyang; Yang, Xiong; He, Haibo 收藏 \| 浏览/下载：63/0 \| 提交时间：2021/06/07 Optimal control Nonlinear systems Decentralized control Mathematical model Convergence Multi-agent systems Adaptive dynamic programming (ADP) approximate dynamic programming distributed policy iteration nonlinear systems optimal control
	Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340 作者: Zhao, Bo; Liu, Derong; Luo, Chaomin 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/01/07 Nonlinear systems Optimal control Artificial neural networks Actuators Observers Feedforward systems Adaptive dynamic programming (ADP) neural networks (NNs) optimal control reinforcement learning (RL) uncertain input constraints unknown nonlinear systems

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