A Roadmap to Guide the Integration of LLMs in Hierarchical Planning

Understand

Recent advances in Large Language Models (LLMs) are fostering their integration into several reasoning-related fields, including Automated Planning (AP).

• However, their integration into Hierarchical Planning (HP), a subfield of AP that leverages hierarchical knowledge to enhance planning performance, remains largely unexplored.
• In this preliminary work, we propose a roadmap to address this gap and harness the potential of LLMs for HP.
• To this end, we present a taxonomy of integration methods, exploring how LLMs can be utilized within the HP life cycle.