Optimizing Performance Evaluation of Badminton Players Using Proximal Policy Optimization (PPO) Algorithm
Badminton performance evaluation has traditionally relied on subjective coaching assessments and basic statistical metrics, limiting scalability and real-time feedback. This study proposes a novel framework leveraging Proximal Policy Optimization (PPO)—a reinforcement learning (RL) algorithm—to…
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