Paper

Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning

arXiv:2606.06353v1 Announce Type: new Abstract: Machine learning is increasingly employed for the evaluation of football tactics. However, existing approaches focus on characterising historical actions or analyst-specified counterfactual scenarios. In this work, we seek to go beyond the imitation of historically observed patterns towards discovering new generalisable player configurations and strategies. To tackle this, we focus on optimising corner kick routines, and formulate a decision-making problem in which a central policy makes adjustments to attacking player positions and velocities t…

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