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arXiv Machine Learning By Peize Ding

ShuttleArena: Interpretable Self-Play in Physics-Based Badminton

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ShuttleArena is a physics‑based singles badminton self‑play environment that integrates continuous shuttle flight, player interception, structured shot generation, and post‑shot recovery. The policy employs role‑conditioned outputs, allowing interpretable tactical probes through masked interception choices for receivers and factorized hitter actions over shot azimuth, elevation, speed, and recovery target. Evaluation with frozen checkpoints, controlled tactical probes, recovery ablations, qualitative rollouts, and a human‑data sanity check demonstrates competitive performance and reveals that learned recovery behavior is critically important for success.

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