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 requires accounting for strategic interactions among 22 players, including off-ball movements and defensive positioning. Existing reinforcement-l…