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PROC2PDDL: Open-Domain Planning Representations from Texts
March 4, 2024, 5:47 a.m. | Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon
cs.CL updates on arXiv.org arxiv.org
Abstract: Planning in a text-based environment continues to be a major challenge for AI systems. Recent approaches have used language models to predict a planning domain definition (e.g., PDDL) but have only been evaluated in closed-domain simulated environments. To address this, we present Proc2PDDL , the first dataset containing open-domain procedural texts paired with expert-annotated PDDL representations. Using this dataset, we evaluate state-of-the-art models on defining the preconditions and effects of actions. We show that Proc2PDDL …
abstract ai systems arxiv challenge cs.cl dataset definition domain environment environments language language models major planning systems text type
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