CORDIS Project
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This project focuses on improving decision-making strategies under uncertainty using online algorithms and machine learning. By exploring new algorithmic techniques, it aims to enhance performance in various applications where future outcomes are unknown.
Online decision-making, characterized by the need to make decisions without knowledge of the future, lies at the heart of numerous applications.
Despite its prevalence, our grasp of effective strategies for handling the associated uncertainty remains poor.
Through the lens of the established framework of online algorithms as well as the emerging field of learning-augmented algorithms, this project aims to address central challenges in decision making under uncertainty.While there has been extens…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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