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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：山东大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Neural-network-based output-feedback control with stochastic communication protocols 期刊论文 AUTOMATICA, 2019, 卷号: 106, 页码: 221-229 作者:  Ding, Derui;  Wang, Zidong;  Han, Qing-Long 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/11 Output-feedback control  Stochastic communication protocols  Adaptive  dynamic programming  Actor-critic structures   Optimized Adaptive Nonlinear Tracking Control Using Actor-Critic Reinforcement Learning Strategy 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 期号: 9, 页码: 4969-4977 作者:  Wen, Guoxing;  Chen, C. L. Philip;  Ge, Shuzhi Sam;  Yang, Hongli;  Liu, Xiaoguang 收藏  |  浏览/下载：31/0  |  提交时间：2019/12/11 Lyapunov function  neural networks (NNs)  nonlinear systems  optimized  tracking control  reinforcement learning (RL) of actor-critic  architecture   Neural-Network-Based Output-Feedback Control Under Round-Robin Scheduling Protocols 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 6, 页码: 2372-2384 作者:  Ding, Derui;  Wang, Zidong;  Han, Qing-Long;  Wei, Guoliang 收藏  |  浏览/下载：18/0  |  提交时间：2019/12/11 Actor-critic structures  neural networks (NNs)  output-feedback control  periodic systems  round-Robin (RR) scheduling protocol   An Asynchronous Advantage Actor-Critic Reinforcement Learning Method for Stock Selection and Portfolio Management 会议论文 2nd International Conference on Big Data Research (ICBDR), OCT 27-29, 2018 作者:  Kang, Qinma;  Zhou, Huizhuo;  Kang, Yunfan 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/31 Computational finance  portfolio management  machine learning  deep  reinforcement learning  asynchronous advantage actor-critic   An asynchronous advantage actor-critic reinforcement learning method for stock selection and portfolio management 会议论文 2nd International Conference on Big Data Research, ICBDR 2018, October 27, 2018 - October 29, 2018 作者:  Kang, Qinma;  Zhou, Huizhuo;  Kang, Yunfan 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/31