4 papers · 1 filter
A Roadmap to Guide the Integration of LLMs in Hierarchical Planning
Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo +1
Recent advances in Large Language Models (LLMs) are fostering their integration into several reasoning-related fields, including Automated Planning (AP). However, their integration…
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
In the field of Automated Planning there is often the need for a set of planning problems from a particular domain, e.g., to be used as training data for Machine Learning or as ben…
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
In the field of Sequential Decision Making (SDM), two paradigms have historically vied for supremacy: Automated Planning (AP) and Reinforcement Learning (RL). In the spirit of reco…
On Using Admissible Bounds for Learning Forward Search Heuristics
Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo +1
In recent years, there has been growing interest in utilizing modern machine learning techniques to learn heuristic functions for forward search algorithms. Despite this, there has…