EF1 – Extracting dynamical Laws from Complex Data

Project

EF1-12

Learning Extremal Structures in Combinatorics

Project Heads

Sebastian Pokutta, Tibor Szabó

Project Members

Olaf Parczyk, Christoph Spiegel

Project Duration

01.04.2021 − 31.03.2024

Located at

FU Berlin

Description

Extremal Combinatorics focuses on determining the maximum or minimum sizes of discrete structures with specific properties, often posing significant challenges due to the complexity of the problem. Despite the exponential growth in the search space, both traditional computational methods and recent advancements in AI, particularly in Reinforcement Learning, have yielded significant insights. In the main work of this project we make progress on the Ramsey multiplicity problem employing search heuristics and flag algebras.

External homepage

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