Carlos Núñez-Molina

17 papers A* 2A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated planning instance generation with neuro-symbolic AI.
Artif. Intell.
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2025 J jnl
A Roadmap to Guide the Integration of LLMs in Hierarchical Planning.
CoRR
Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2025 J jnl
From Next Token Prediction to (STRIPS) World Models - Preliminary Results.
CoRR
Carlos Núñez-Molina, Vicenç Gómez, Hector Geffner
2025 J jnl
Towards a General Framework for HTN Modeling with LLMs.
CoRR
Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2024 J jnl
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making.
ACM Comput. Surv.
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2024 J jnl
Learning to Select Goals in Automated Planning with Deep-Q Learning.
CoRR
Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez
2024 A conf
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems.
ECAI
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2024 A* conf
On Using Admissible Bounds for Learning Forward Search Heuristics.
IJCAI
Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernández-Olivares
2023 J jnl
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making.
CoRR
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2023 J jnl
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems.
CoRR
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2023 J jnl
Towards a Unified Framework for Sequential Decision Making.
CoRR
Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
2023 J jnl
Utilizing Admissible Bounds for Heuristic Learning.
CoRR
Carlos Núñez-Molina, Masataro Asai
2022 A* conf
Application of Neurosymbolic AI to Sequential Decision Making.
IJCAI
Carlos Núñez-Molina
2022 J jnl
Learning to select goals in Automated Planning with Deep-Q Learning.
Expert Syst. Appl.
Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez
2021 — conf
A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent.
CAEPIA
Carlos Núñez-Molina, Ignacio Vellido-Expósito, Vladislav Nikolov-Vasilev, Raúl Pérez, Juan Fdez-Olivares
2021 J jnl
Planning from video game descriptions.
CoRR
Ignacio Vellido-Expósito, Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Juan Fdez-Olivares
2020 J jnl
Goal Reasoning by Selecting Subgoals with Deep Q-Learning.
CoRR
Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Ignacio Vellido-Expósito, Juan Fernández-Olivares