“Reinforcement Learning Identifies Age-Related Balance Strategy Shifts” by Huiyi Wang, Jozsef Kovecses, and Guillaume Durandau (McGill University & Jewish Rehabilitation Hospital, Canada). This study in TNSRE introduces a full-body musculoskeletal model with 290 muscles and 23 degrees of freedom to simulate human balance under muscle weakness conditions such as sarcopenia. Using reinforcement learning, curriculum learning, and muscle synergy representations, the model autonomously learned to rep