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 the maximum or minimum sizes of discrete structures with specific properties, posing significant challenges due to their complexity. Traditional computational approaches often fail due to exponential growth in search spaces, but recent AI advancements, especially in Reinforcement Learning, offer new potential. Applying these AI methods could provide insights into combinatorial problems while also enhancing the understanding of AI techniques in complex, sparse reward environments.

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