Optimization of Wushu Movement Learning and Training Methods Based on Deep Reinforcement Learning
* by Guohai Cheng * International Journal of e-Collaboration, September 2026 * Abstract The present research introduces WushuDRL-Net, an intelligent framework based on deep reinforcement learning (DRL) to enhance Wushu movement learning and training. The system employs the Proximal Policy Optimization with Motion Alignment Feedback (PPO-MAF) technique, which combines expert imitation, rhythm alignment, and scoring […]
