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Video Language Planning
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Video Language Planning
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site name
author
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2026-02-28 07:44:57
raw text
Video Language Planning Video Language Planning Yilun Du Sherry Yang Pete Florence Fei Xia Ayzaan Wahid Brian Ichter Pierre Sermanet Tianhe Yu Pieter Abbeel Joshua B. Tenenbaum Leslie Kaelbling Andy Zeng Jonathan Tompson Google DeepMind MIT UC Berkeley Paper Code Data Results Abstract We are interested in enabling visual planning for complex long-horizon tasks in the space of generated videos and language, leveraging recent advances in large generative models pretrained on Internet-scale data. To this end, we present video language planning (VLP), an algorithm that consists of a tree search procedure, where we train (i) vision-language models to serve as both policies and value functions, and (ii) text-to-video models as dynamics models. VLP takes as input a long-horizon task instruction and current image observation, ...
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