Titlebook: Reinforcement Learning; Optimal Feedback Con Jinna Li,Frank L. Lewis,Jialu Fan Book 2023 The Editor(s) (if applicable) and The Author(s), u

ACORN

书目名称Reinforcement Learning影响因子(影响力)




书目名称Reinforcement Learning影响因子(影响力)学科排名




书目名称Reinforcement Learning网络公开度




书目名称Reinforcement Learning网络公开度学科排名




书目名称Reinforcement Learning被引频次




书目名称Reinforcement Learning被引频次学科排名




书目名称Reinforcement Learning年度引用




书目名称Reinforcement Learning年度引用学科排名




书目名称Reinforcement Learning读者反馈




书目名称Reinforcement Learning读者反馈学科排名

神圣不可

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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

拱形大桥

disciplined

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

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

preservative

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

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