ACORN
发表于 2025-3-21 19:19:27
书目名称Reinforcement Learning影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0825927<br><br> <br><br>书目名称Reinforcement Learning读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0825927<br><br> <br><br>
神圣不可
发表于 2025-3-21 22:16:26
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insert
发表于 2025-3-22 02:45:45
Jinna Li,Frank L. Lewis,Jialu FanSystematic, easy-to-follow introduction of novel ideas in data-driven optimal control.Uses measured data in examples to show how methods really work.Illustrates the practical application of novel algo
蚊子
发表于 2025-3-22 05:54:42
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拱形大桥
发表于 2025-3-22 11:44:06
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disciplined
发表于 2025-3-22 14:15:20
Background on Reinforcement Learning and Optimal Control,ion and contributions of this book. The discussion is preparatory to well handle optimal feedback control problems using the RL technique in subsequent chapters, with strong potentials and benefits for future practical applications, particularly industrial intelligent optimization and control. In ad
stroke
发表于 2025-3-22 19:48:24
Control Using Reinforcement Learning,er systems with a single source of external disturbances. The primary contribution lies in that the Q-learning strategy employed in the proposed algorithm is implemented in an off-policy policy iteration approach other than the on-policy learning. Then, we present a data-driven adaptive dynamic prog
极大的痛苦
发表于 2025-3-23 00:22:54
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preservative
发表于 2025-3-23 03:18:57
Interleaved Robust Reinforcement Learning,terleaved reinforcement learning algorithm is developed for finding a robust controller of DT affine nonlinear systems subject to matched or unmatched uncertainties. To this end, the robust control problem is converted to the optimal control problem for nominal systems by selecting an appropriate ut
Locale
发表于 2025-3-23 09:09:14
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