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HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 21861-21872
作者:  Xi, Jinhao;  Zhu, Fenghua;  Ye, Peijun;  Lv, Yisheng;  Tang, Haina;  Wang, Fei-Yue
Adobe PDF(3316Kb)  |  收藏  |  浏览/下载：279/33  |  提交时间：2022/09/19
deep reinforcement learning  online ride-hailing system  hierarchical repositioning framework  parallel coordination mechanism  mixed state  
Generative Adversarial Networks: Introduction and Outlook 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 卷号: 4, 期号: 4, 页码: 588-598
作者:  Kunfeng Wang;  Chao Gou;  Yanjie Duan;  Yilun Lin;  Xinhu Zheng;  Fei-Yue Wang
浏览  |  Adobe PDF(16945Kb)  |  收藏  |  浏览/下载：371/42  |  提交时间：2018/01/08
Acp Approach  Adversarial Learning  Generative Adversarial Networks (Gans)  Generative Models  Parallel Intelligence  Zero-sum Game  
Adaptive Dynamic Programming: An Introduction 期刊论文
IEEE Computational Intelligence Magazine, 2009, 卷号: 4, 期号: 2, 页码: 39-47
作者:  Fei-Yue Wang;  Huaguang Zhang;  Derong Liu
浏览  |  Adobe PDF(2205Kb)  |  收藏  |  浏览/下载：1928/1167  |  提交时间：2016/10/25
Adaptive Dynamic Programming  
Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 12, 页码: 2834-2847
作者:  Liu, Derong;  Wang, Ding;  Wang, Fei-Yue;  Li, Hongliang;  Yang, Xiong
浏览  |  Adobe PDF(780Kb)  |  收藏  |  浏览/下载：458/209  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Hamilton-jacobi-bellman (Hjb) Equation  Neural Networks  Optimal Robust Guaranteed Cost Control  Uncertain Nonlinear Systems  
Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 12, 页码: 2820-2833
作者:  Wei, Qinglai;  Wang, Fei-Yue;  Liu, Derong;  Yang, Xiong
浏览  |  Adobe PDF(1826Kb)  |  收藏  |  浏览/下载：310/113  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Approximation Error  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  Value Iteration