Unveiling Bias in Sequential Decision Making: A Causal Inference Approach for Stochastic Service Systems
揭示序贯决策偏差:随机服务系统的因果推断方法
In many stochastic service systems, decision-makers find themselves making a sequence of decisions, with the number of decisions being unpredictable. To enhance these decisions, it is crucial to uncover the causal impact these decisions have through careful analysis of observational data from the system. However, these decisions are not made independently, as they are shaped by previous decisions and outcomes. This phenomenon is called sequential bias and violates a key…