ERC Starting Grant · 2024
Challenges in Competitive Online Optimisation
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 extensive research on online algorithms, many of the field's core challenges remain unresolved. However, several recent discoveries of new algorithmic design and analysis techniques have opened up novel…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.