Abstract: Many challenging real-world control problems require adaptation and learning in the presence of uncertainty. Examples of these challenging domains include aircraft adaptive control under ...
Abstract: In this paper, a survey of the literature of the past 15 years involving machine learning (ML) algorithms applied to self-organizing cellular networks is performed. In order for future ...
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By the end of this chapter, you will be able to: Define Physical AI and differentiate it from other forms of AI. Explain the importance of physical embodiment in intelligence. Identify key application ...