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ENTITY Textual Belief States for World Models: Identifiable Representation Learning Under Strict Mediation

Textual Belief States for World Models: Identifiable Representation Learning Under Strict Mediation

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  1. RESEARCH · CL_115248 ·

    New method improves representation quality in text-based world models

    Researchers have developed a method to enforce strict latent state mediation in text-based reinforcement learning environments, addressing challenges posed by discrete and non-differentiable textual states. This approac…