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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：237/0  |  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：236/0  |  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  
A Probabilistic Mechanism Design for Online Auctions 期刊论文
IEEE ACCESS, 2017, 卷号: 2017, 期号: .5, 页码: 10782-10794
作者:  Zhang, Jie;  Li, Linjing;  Wang, Fei-Yue
浏览  |  Adobe PDF(3721Kb)  |  收藏  |  浏览/下载：408/106  |  提交时间：2017/09/12
Mechanism Design  Online Auctions  Randomized Mechanisms  E-commerce  Computational Experiments  Probabilistic Mechanism Design  
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 5, 页码: 4110-4120
作者:  Wei, Qinglai;  Liu, Derong;  Lewis, Frank L.;  Liu, Yu;  Zhang, Jie
浏览  |  Adobe PDF(4866Kb)  |  收藏  |  浏览/下载：582/251  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Mixed Iteration  Optimal Control  Policy Iteration  Smart Grid  Value Iteration  
A Discounted Trade Reduction Mechanism for Dynamic Ridesharing Pricing 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 卷号: 17, 期号: 6, 页码: 1586-1595
作者:  Zhang, Jie;  Wen, Ding;  Zeng, Shuai
浏览  |  Adobe PDF(3274Kb)  |  收藏  |  浏览/下载：510/153  |  提交时间：2016/10/20
Dynamic Ridesharing  Mechanism Design  Double Auctions  Trade Reduction Mechanism  Computational Experiments  
Optimal Budget Allocation Across Search Advertising Markets 期刊论文
INFORMS JOURNAL ON COMPUTING, 2015, 卷号: 27, 期号: 2, 页码: 285-300
作者:  Yang, Yanwu;  Zeng, Daniel;  Yang, Yinghui;  Zhang, Jie
浏览  |  Adobe PDF(1107Kb)  |  收藏  |  浏览/下载：612/246  |  提交时间：2015/09/17
Sponsored Search  Budget Allocation  Budget Strategy  Search Markets  
Budget Planning for Coupled Campaigns in Sponsored Search Auctions 期刊论文
INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE, 2014, 卷号: 18, 期号: 3, 页码: 39-65
作者:  Yang, Yanwu;  Qin, Rui;  Jansen, Bernard J.;  Zhang, Jie;  Zeng, Daniel
浏览  |  Adobe PDF(1781Kb)  |  收藏  |  浏览/下载：300/74  |  提交时间：2015/08/12
Advertising Campaigns  Budget Planning Decision Analysis  Online Advertising  Operations Research In marketIng  Optimal Control  Sponsored Search  Sponsored Search Auctions  
A Budget Optimization Framework for Search Advertisements Across Markets 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2012, 卷号: 42, 期号: 5, 页码: 1141-1151
作者:  Yang, Yanwu;  Zhang, Jie;  Qin, Rui;  Li, Juanjuan;  Wang, Fei-Yue;  Qi, Wei;  Fei-Yue Wang
浏览  |  Adobe PDF(545Kb)  |  收藏  |  浏览/下载：495/193  |  提交时间：2015/08/12
Budget Optimization  Optimal Strategy  Search Auctions  Search Engine Marketing  Sponsored Search  
Budget Strategy in Uncertain Environments of Search Auctions: A Preliminary Investigation 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2013, 卷号: 6, 期号: 2, 页码: 168-176
作者:  Yang, Yanwu;  Zhang, Jie;  Qin, Rui;  Li, Juanjuan;  Liu, Baiyu;  Liu, Zhong
浏览  |  Adobe PDF(587Kb)  |  收藏  |  浏览/下载：268/34  |  提交时间：2015/08/12
Budget Optimization  Budget Decisions  Optimal Strategy  Stochastic Strategy  Search Auctions  
Dynamic dual adjustment of daily budgets and bids in sponsored search auctions 期刊论文
DECISION SUPPORT SYSTEMS, 2014, 卷号: 57, 期号: 0, 页码: 105-114
作者:  Zhang, Jie;  Yang, Yanwu;  Li, Xin;  Qin, Rui;  Zeng, Daniel
浏览  |  Adobe PDF(983Kb)  |  收藏  |  浏览/下载：351/98  |  提交时间：2015/08/12
Sponsored Search Auction  Budget Adjustment  Continuous Reinforcement Learning  Dynamic Adjustment