AI RESEARCH
Order-based Rehearsal Learning
arXiv CS.LG
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ArXi:2605.04955v1 Announce Type: new When a machine learning (ML) model forecasts an undesired event, one often seeks a decision to avoid it, known as the avoiding undesired future (AUF) problem. Many rehearsal learning methods have been proposed for AUF, but they rely on an underlying graph structure; learning such a graph from observational data is challenging and can incur substantial estimation error. In this work, we nstrate that the order structure can be sufficient for AUF decision-making, and propose the first order-based rehearsal learning method.