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AMI and others release hierarchical world model H-JEPA and open-source it
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AMI, together with New York University, INRIA Paris, and Brown University, released the paper H-JEPA, proposing a hierarchical world model that stacks multiple JEPAs layer by layer for visual planning, and simultaneously open-sourced the code and pretrained weights, so researchers can directly load the models to reproduce planning experiments. In the Visual AntMaze simulated maze task, the success rate of the three-layer H-JEPA reached 73%, while the single-layer model was 18%. However, in the Push-T task, the two-layer model performed better, and when increased to three or four layers, the results instead declined.
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- AMI, with NYU and others, releases H-JEPA hierarchical world model, open-sources code and weights
AMI, the world model company founded by LeCun, together with New York University, INRIA Paris, and Brown University, released a paper on H-JEPA, proposing a hierarchical world model that stacks multiple JEPAs layer by layer for visual planning.
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