寓言 发表于 2025-3-21 17:35:58
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Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way...Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.978-981-16-8068-7978-981-16-8066-3inhibit 发表于 2025-3-22 02:38:29
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978-981-16-8068-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singaporgorgeous 发表于 2025-3-22 15:06:33
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https://doi.org/10.1007/978-981-16-8066-3AC motors; model predictive control; robustness; prediction accuracy; sliding mode observers; Open AccessNAUT 发表于 2025-3-23 02:41:59
On Normative Reinforcement Learning via Safe Reinforcement Learningts. We analyze some of the difficulties that arise from attempting to represent norms with LTL, provide an algorithm for synthesizing LTL specifications from certain normative systems, and analyze its power and limits with a case study.IDEAS 发表于 2025-3-23 08:46:03
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