Investigating and acquiring motor expertise using virtual reality

Mangalam, Madhur; Yarossi, Matthew; Furmanek, Mariusz P.; Krakauer, John W.; Tunik, Eugene

doi:10.31234/osf.io/qhd5p

Cited by 1 publication

(1 citation statement)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, we must remember that sporting situations are diverse and erratic, often requiring a athlete to switch between different strategies during a performance. The ability to successfully implement these adaptive switches is a hallmark of sporting expertise [1, 6, 8]. Our study did not capture such decisions because we focused only on flat slopes.…”

Section: Discussionmentioning

confidence: 99%

Reinforcement learning enhances training and performance in skilled alpine skiers compared to traditional coaching instruction

Magelssen,

Gilgien,

Tajet

et al. 2024

Preprint

View full text Add to dashboard Cite

Skilled performers need skillful and adaptive movement strategies to solve tasks effectively. Typically, performers learn these strategies with instruction-based teaching methods where coaches offer performers a correct solution. Inspired by recent evidence from decision neuroscience, we asked whether skilled performers learn strategy choices better with an evaluation-based training strategy (reinforcement learning). To address this question, we conducted a three-day learning experiment with skilled alpine ski racers (n=98) designed to improve their performance on flat slopes on slaloms with four strategies at their disposal to achieve this goal. We compared performance and strategy choices of three groups: a reinforcement learning group, that only received feedback about their race times after every run, a supervised (free choice) learning group, that received strategy instructions from their coach, and a supervised (target skill) learning group, being coached to use the theoretically optimal strategy for skiing well on flats. We found that despite making similar strategy choices, the skiers in the reinforcement learning group, showed greater improvements in their race times during the training sessions than their counterparts in the supervised (free choice) learning group and outperformed them during a subsequent retention test. Surprisingly, the skiers in the reinforcement learning group even showed descriptively (but not significantly) better performance than those in the supervised (target skill) learning group. Our findings show that reinforcement learning can be an effective training strategy for improving strategy choices and performance among skilled performers, even among the best ones.

show abstract

Section: Discussionmentioning

confidence: 99%