Learner engagement regulation of dual-user training based on deep reinforcement learning
Yang Yang,
Xing Liu,
Zhengxiong Liu
et al.
Abstract:The dual-user training system is essential for fostering motor skill learning, particularly in complex operations. However, the challenge lies in the optimal tradeoff between trainee ability and engagement level. To address this problem, we propose an intelligent agent that coordinates trainees’ control authority during real task engagement to ensure task safety during training. Our approach avoids the need for manually set control authority by expert supervision. At the same time, it does not rely on pre-mode… Show more
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