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- Title
Reinforcement Learning May Demystify the Limited Human Motor Learning Efficacy Due to Visual-Proprioceptive Mismatch.
- Authors
Choi, Kyungrak; Choe, Yoonsuck; Park, Hangue
- Abstract
Vision and proprioception have fundamental sensory mismatches in delivering locational information, and such mismatches are critical factors limiting the efficacy of motor learning. However, it is still not clear how and to what extent this mismatch limits motor learning outcomes. To further the understanding of the effect of sensory mismatch on motor learning outcomes, a reinforcement learning algorithm and the simplified biomechanical elbow joint model were employed to mimic the motor learning process in a computational environment. By applying a reinforcement learning algorithm to the motor learning of elbow joint flexion task, simulation results successfully explained how visual-proprioceptive mismatch limits motor learning outcomes in terms of motor control accuracy and task completion speed. The larger the perceived angular offset between the two sensory modalities, the lower the motor control accuracy. Also, the more similar the peak reward amplitude of the two sensory modalities, the lower the motor control accuracy. In addition, simulation results suggest that insufficient exploration rate limits task completion speed, and excessive exploration rate limits motor control accuracy. Such a speed-accuracy trade-off shows that a moderate exploration rate could serve as another important factor in motor learning.
- Subjects
MOTOR learning; REINFORCEMENT learning; MACHINE learning; ELBOW joint; LEARNING; EDUCATIONAL outcomes; PROPRIOCEPTION
- Publication
International Journal of Neural Systems, 2024, Vol 34, Issue 7, p1
- ISSN
0129-0657
- Publication type
Article
- DOI
10.1142/S0129065724500370