An iterative code-generation framework (IPP) improves LLM performance on GRASP and MiniGrid grid-planning tasks by refining generated policy programs based on execution feedback.
Grid-based mobile robot path planning using aging-based ant colony optimization algorithm in static and dynamic environments
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Code-Driven Planning in Grid Worlds with Large Language Models
An iterative code-generation framework (IPP) improves LLM performance on GRASP and MiniGrid grid-planning tasks by refining generated policy programs based on execution feedback.