AINeutralarXiv – CS AI · 6h ago6/10
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TERRA: Task-Embedded Reasoning and Representation Architecture for Cross-Domain Applications
TERRA introduces a theoretical framework for transferring machine learning representations across structurally similar but unrelated domains—from driving scenes to robot workspaces to financial markets. The research formalizes when and how well a model trained in one domain generalizes to another through mathematical constructs like Markov decision process homomorphisms and Gromov-Wasserstein distances, presenting a preregistered experimental program without empirical validation.