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CASIA OpenIR
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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：56/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893
作者:  Su, Shuai;  Zhu, Qingyang;  Liu, Junqing;  Tang, Tao;  Wei, Qinglai;  Cao, Yuan
收藏  |  浏览/下载：69/0  |  提交时间：2023/11/17
Deep reinforcement learning (RL)  driving strategy  energy-efficient train control (EETC)  soft actorcritic (SAC)  
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:  Lu, Jingwei;  Han, Liyuan;  Wei, Qinglai;  Wang, Xiao;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：61/0  |  提交时间：2023/11/17
Autonomous vehicles  Decision making  Path planning  Training  Optimal control  Deep learning  Complex systems  Autonomous driving  deep reinforcement learning  deep Q-network  event-triggered control  parallel 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
Adobe PDF(470Kb)  |  收藏  |  浏览/下载：108/45  |  提交时间：2023/12/15
Optimal Strategy for Aircraft Pursuit-Evasion Games via Self-Play Iteration 期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:  Wang Xin;  Wei Qinglai;  Li Tao;  Zhang Jie
Adobe PDF(1556Kb)  |  收藏  |  浏览/下载：142/56  |  提交时间：2023/06/26
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:  Wei, Qinglai;  Yan, Yutian;  Zhang, Jie;  Xiao, Jun;  Wang, Cong
收藏  |  浏览/下载：178/0  |  提交时间：2023/01/09
Automated guided vehicle (AGV) dispatching  deep learning  reinforcement learning (RL)  self-attention  
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291
作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian
收藏  |  浏览/下载：183/0  |  提交时间：2022/09/19
Reinforcement learning  Adaptive dynamic programming (ADP)  UAV control  Monte Carlo simulation  Neural networks  
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Yang, Xiong;  Xu, Mengmeng;  Wei, Qinglai
收藏  |  浏览/下载：205/0  |  提交时间：2022/07/25
Asymptotic stability  Interconnected systems  Decentralized control  Closed loop systems  Artificial neural networks  Optimal control  Nonlinear dynamical systems  Adaptive dynamic programming (ADP)  decentralized control  event-based control  interconnected system  reinforcement learning (RL)  
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:  Wei, Qinglai;  Li, Yugu;  Zhang, Jie;  Wang, Fei-Yue
收藏  |  浏览/下载：196/0  |  提交时间：2022/07/25
Mathematical models  Task analysis  Games  Q-learning  Neural networks  Behavioral sciences  Training  Deep learning  graph attention networks (GATs)  multiagent systems  reinforcement learning  
Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15
作者:  Lu, Jingwei;  Wei, Qinglai;  Zhou, Tianmin;  Wang, Ziyang;  Wang, Fei-Yue
收藏  |  浏览/下载：177/0  |  提交时间：2022/07/25
Nonlinear systems  Optimal control  Control systems  Performance analysis  Stability criteria  Iterative algorithms  Heuristic algorithms  Adaptive dynamic programming (ADP)  event-triggered control  near-optimal control  parallel control  reinforcement learning (RL)  unknown nonlinear systems