Goal Reasoning by Selecting Subgoals with Deep Q-Learning. - Carlos Núñez-Molina; Vladislav Nikolov-Vasilev; Ignacio Vellido-Expósito; Juan Fernández-Olivares (CoRR, 2020)

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 (CAEPIA, 2021)

Planning from video game descriptions. - Ignacio Vellido-Expósito; Carlos Núñez-Molina; Vladislav Nikolov-Vasilev; Juan Fdez-Olivares (CoRR, 2021)

Application of Neurosymbolic AI to Sequential Decision Making. - Carlos Núñez-Molina (IJCAI, 2022)

Learning to select goals in Automated Planning with Deep-Q Learning. - Carlos Núñez-Molina; Juan Fernández-Olivares; Raúl Pérez (Expert Syst. Appl., 2022)

Utilizing Admissible Bounds for Heuristic Learning. - Carlos Núñez-Molina; Masataro Asai (CoRR, 2023)

Towards a Unified Framework for Sequential Decision Making. - Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (CoRR, 2023)

NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems. - Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (ECAI, 2024)

On Using Admissible Bounds for Learning Forward Search Heuristics. - Carlos Núñez-Molina; Masataro Asai; Pablo Mesejo; Juan Fernández-Olivares (IJCAI, 2024)

A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making. - Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (ACM Comput. Surv., 2024)

A Roadmap to Guide the Integration of LLMs in Hierarchical Planning. - Israel Puerta-Merino; Carlos Núñez-Molina; Pablo Mesejo; Juan Fernández-Olivares (CoRR, 2025)