skip to main content

Title: Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
; ; ; ;
Award ID(s):
Publication Date:
Journal Name:
Advances in neural information processing systems
Page Range or eLocation-ID:
Sponsoring Org:
National Science Foundation
More Like this
  1. Drawing from life-span psychology, we conducted two studies to test perceptions of time left in the future as an underlying mechanism for age differences in self-reported social risk taking. Study 1 included 120 younger (25–35 years) and 119 older (60–91 years) community-dwelling adults. Study 2 included 439 participants (18–85 years) mostly recruited from Amazon Mechanical Turk. In both studies, older age was associated with rating a lower likelihood of social risk taking (e.g., speaking about an unpopular issue) and perceiving the future as holding fewer future opportunities and being more limited. Perceptions of fewer future opportunities with aging statistically mediated age-related declines in social risk taking. Findings highlight motivational factors as key for understanding age differences in social risk taking. Implications of age differences in social risk taking on factors related to well-being, such as social support and strain, are discussed.
  2. The majority of human-factor models in construction safety assume that risk-taking behaviors, failure to perceive hazards, or misinterpreting the associated risks of hazards are the main contributing factors in accident occurrences. However, the findings for the link between risk-taking behaviors and risk perception are inconsistent. To address this knowledge gap, the current study focuses on measuring the association between risk perception and the risk-taking behaviors of construction workers. To achieve this objective, 27 undergraduate students from the University of Nebraska–Lincoln with at least 1 year of experience in the construction industry were recruited to participate in an experiment. To measure risk perception, the subjects were asked to assess the risk—in terms of likelihood and severity—associated with various scenario statements related to fall hazards. Subsequently, subjects performed the balloon analogue risk task (BART), a computerized decision-making simulation, to test the subjects’ risk-taking behaviors. The results of a correlational analysis showed that there is a significant negative association between an individual’s risk perception of fall hazards and his/her risk-taking behaviors. Additionally, differences in the risk-taking behaviors of subjects evaluated against their risk-perception scores were examined using a permutation simulation analysis. The results showed that there is a moderately significant difference in themore »risk-taking behaviors of subjects with low and high fall-risk perception. The research findings provide empirical evidence that people with lower risk perception tend to engage in more risk-taking behaviors. Furthermore, this study is one of the first attempts at using BART in the assessment of risk taking in construction safety and paves the way for a better understanding the human factors that contribute to construction accidents.« less