Cervical spinal cord injuries frequently cause paralysis of all four limbs - a medical condition known as tetraplegia. Functional electrical stimulation (FES), when combined with an appropriate controller, can be used to restore motor function by electrically stimulating the neuromuscular system. Previous works have demonstrated that reinforcement learning can be used to successfully train FES controllers. Here, we demonstrate that transfer learning and curriculum learning can be used to improve the learning rates, accuracies, and workspaces of FES controllers that are trained using reinforcement learning.

中文翻译：

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具有结构和自适应非局部去马赛克的广义 MSFA 工程


颈髓损伤经常导致四肢瘫痪，这种疾病称为四肢瘫痪。功能性电刺激 (FES) 与适当的控制器结合使用，可通过电刺激神经肌肉系统来恢复运动功能。之前的工作已经证明强化学习可以用来成功训练 FES 控制器。在这里，我们证明迁移学习和课程学习可用于提高使用强化学习训练的 FES 控制器的学习率、准确性和工作空间。