Semantic Partial Grounding via LLMs | ScienceToStartup | ScienceToStartup

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References (13)

[1]

Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning

2021Pascal Lauer, Á. Torralba et al.

[2]

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

2020Tom Silver, Rohan Chitnis et al.

[3]

Lifted Successor Generation Using Query Optimization Techniques

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"Optimize classical planning grounding using LLMs to significantly reduce computation time and resource usage."

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Semantic Partial Grounding via LLMs

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References (13)

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"Optimize classical planning grounding using LLMs to significantly reduce computation time and resource usage."

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Semantic Partial Grounding via LLMs

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References (13)

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