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2026-03-04 23:40:31
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Prompting VLMs with and for Classical Planners Prompting VLMs with and for Classical Planners Anonymous Author(s) Paper (under review) Code (coming soon) Abstract Classical planning is one of the earliest subareas of AI, where one can leverage domain knowledge to perform long-horizon reasoning and address complex planning problems. Despite the impressive successes, one limitation of classical planners is the assumption that state transitions take place in closed worlds, making them less robust to unforeseen situations in open worlds. Also, classical planners assume the current world state is provided beforehand, which can be unrealistic in practice. Aiming to address those two limitations, we propose a novel framework, called DKPrompt, that visually grounds a classical planner through a vision-language model (VLM) for open-world planning. A unique feature of DKPrompt is the use of the action description knowledge of classical planners to tailor V...
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