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The Twelfth Worldwide Meeting on Understanding Representations(2024) Preview Preview summary A well known obstacle of offline reinforcement Studying (RL) is The problem of concealed confounding. There, unobserved variables could influence both equally the steps taken through the agent and the outcomes observed in the info. Concealed confounding can compromise the validity of any causal conclusion drawn from the information and offers a major obstacle to successful offline RL. During this paper, we tackle the challenge of concealed confounding during the nonidentifiable setting. We propose a definition of uncertainty resulting from confounding bias, termed delphic uncertainty, which uses variation in excess of compatible earth models, and differentiate it from the well known epistemic and aleatoric uncertainties.