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cs.LG2026
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…
cs.LG2025
OpenSTARLab: Open Approach for Spatio-Temporal Agent Data Analysis in Soccer
Calvin Yeung, Kenjiro Ide, Taiga Someya +1
Sports analytics has become both more professional and sophisticated, driven by the growing availability of detailed performance data. This progress enables applications such as ma…