Carlos Núñez-Molina

According to our database, Carlos Núñez-Molina authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Automated planning instance generation with neuro-symbolic AI.

Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

Artif. Intell., 2026

2025

Towards a General Framework for HTN Modeling with LLMs.

Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

CoRR, November, 2025

From Next Token Prediction to (STRIPS) World Models - Preliminary Results.

Carlos Núñez-Molina, Vicenç Gómez, Hector Geffner

CoRR, September, 2025

A Roadmap to Guide the Integration of LLMs in Hierarchical Planning.

Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

CoRR, January, 2025

2024

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making.

Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

ACM Comput. Surv., November, 2024

On Using Admissible Bounds for Learning Forward Search Heuristics.

Carlos Núñez-Molina, Masataro Asai, Pablo Mesejo, Juan Fernández-Olivares

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems.

Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Towards a Unified Framework for Sequential Decision Making.

Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares

CoRR, 2023

Utilizing Admissible Bounds for Heuristic Learning.

Carlos Núñez-Molina, Masataro Asai

CoRR, 2023

2022

Learning to select goals in Automated Planning with Deep-Q Learning.

Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez

Expert Syst. Appl., 2022

Application of Neurosymbolic AI to Sequential Decision Making.

Carlos Núñez-Molina

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Planning from video game descriptions.

Ignacio Vellido-Expósito, Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Juan Fdez-Olivares

CoRR, 2021

A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent.

Carlos Núñez-Molina, Ignacio Vellido-Expósito, Vladislav Nikolov-Vasilev, Raúl Pérez, Juan Fdez-Olivares

Proceedings of the Advances in Artificial Intelligence, 2021

2020

Goal Reasoning by Selecting Subgoals with Deep Q-Learning.

Carlos Núñez-Molina, Vladislav Nikolov-Vasilev, Ignacio Vellido-Expósito, Juan Fernández-Olivares

CoRR, 2020