Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning
Researchers have developed a graph reinforcement learning approach to optimize football corner kick tactics, aiming to discover novel player configurations beyond historical patterns. This method, evaluated on thousands of Premier League corners, significantly outperforms traditional optimization techniques. Separately, a sample-efficient reinforcement learning method has been created to train human-like AI agents for video games, demonstrated by a goalkeeper in EA SPORTS FC 25 that surpasses the game's built-in AI. AI
IMPACT These advancements demonstrate AI's growing capability in strategic optimization for sports and realistic agent behavior in video games.