Researcher Trains JEPA World Model to Learn Super Mario Bros Environment

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A developer named Benjamin Bai has built a project called LeMario, which applies a Joint Embedding Predictive Architecture (JEPA) world model to the classic video game Super Mario Bros. JEPA is a self-supervised learning framework originally proposed by AI researcher Yann LeCun, designed to learn abstract representations of how environments work. The project explores whether such a world model can effectively learn the dynamics and structure of a game environment without explicit labels. LeMario was shared on Hacker News, where the original article and technical details are hosted on Bai's personal project page.

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