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FINE: Future-Informed Navigation Encoding for Data-Efficient Vision-Language Navigation
Adapting vision-language navigation (VLN) policies to new environments is expensive because every additional route and instruction requires an embodied demonstration. Yet standard observation-to-action training uses only a small fraction of the information already contained in each trajectory. In pa
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