Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
Researchers from Saarland University and the Max Planck Institute for Software Systems have, for the first time, shown that ...
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Researchers extend tensor programming to the continuous world
When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.
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CRISPR-based Cellgorithm technology ushers in a new era of cell programming
Syntax Bio, a synthetic biology company programming the next generation of cell therapies, today announced the publication of ...
Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Ebony Howard is a certified public accountant and a QuickBooks ProAdvisor tax expert. She ...
Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...
Abstract: Large language models are also increasingly used in education, both by students and teachers. Newly introduced LLM-based tools, such as Codex, Code Llama, and Microsoft’s Copilot, show that ...
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