Strategic Multi-Agent Learning for Interpretable Action Valuation of All Players in Football

Kenjiro Ide, Taiga Someya, Kohei Kawaguchi +1

Valuing player actions in football, a complex multi-agent system, requires accounting for strategic interactions among 22 players, including off-ball movements and defensive positi…