A Study on the Effect of Deep Reinforcement Learning in Cultivating Athlete Decision Behavior and Psychological Resilience

Abstract

In order to explore the relationship between the psychological resilience level and risk decision-making behavior of volleyball players, the author proposes a study on the effect of deep reinforcement learning in the cultivation of athlete decision-making behavior and psychological resilience. A survey and analysis were conducted on the psychological resilience level and risk decision-making behavior of 64 volleyball club athletes (29 males and 35 females) using the Psychological Resilience Inventory (PPI-A) and Sports Scenario Risk Decision Questionnaire. Construct a random forest regression model based on questionnaire data. The results indicate that there is a significant difference in risk decision-making behavior between athletes with high and low levels of psychological resilience in terms of benefits and losses =4.700,P=0.017,=22.065,P=0.000; There is a significant difference in risk decision-making behavior between athletes with high and low levels of psychological resilience when risk preference loss occurs =4.351,P=0.024, and in the context of positive and negative framing effects, the level of psychological resilience has no significant impact on decision-making behavior. The risk decision-making behavior of volleyball players is influenced by the framing effect, with negative framing and preference loss resulting in more risky behavior and a preference reversal; The level of psychological resilience affects the risk decision-making behavior of athletes in stressful situations, and athletes with high levels of psychological resilience have more adventurous behaviors.