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CASIA OpenIR
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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：211/0  |  提交时间：2023/01/09
Automated guided vehicle (AGV) dispatching  deep learning  reinforcement learning (RL)  self-attention  
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：216/0  |  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：200/0  |  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  
A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler-Turbine Systems 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2021, 页码: 16
作者:  Wei, Qinglai;  Liu, Yujia;  Lu, Jingwei;  Ling, Jun;  Luan, Zhenhua;  Chen, Mingliang
收藏  |  浏览/下载：154/0  |  提交时间：2021/12/28
adaptive dynamic programming  boiler-turbine system  integral reinforcement learning  neural network  policy iteration