PCM_00019 Tesis 2
Título: Deep Reinforcement Learning for Adaptive Monitorization and Patrolling of Water Resources with Unmanned Surface VehiclesNombre: Samuel Yanes LuisDirector/a: S. Toral, D. Gutiérrez ReinaOrganismo: Universidad de Sevilla. 31 de mayo de 2024
PCM_00019 Tesis 1
Título: Path Planning Based on Swarm Intelligence for a Fleet of Autonomous Surface Vehicles for Water Resource MonitoringNombre: Micaela JaraDirector/a: D. Gutiérrez Reina e I. Jurado FloresOrganismo: Universidad Loyola de Andalucía, diciembre de 2023
PCM_00019 Comunicación Oral 4
Título: Multi-Task Reinforcement Learning Approach for Smart Water Quality Monitoring with a Fleet of Autonomous Surface VehiclesAutores: D. Seck, S. Yanes, M. Perales, S. Toral, D. GutierrezCongreso: XX Conference of the Spanish Association for Artificial Intelligence (CAEPIA’24), A Coruña (Spain), Junio 2024.
PCM_00019 Comunicación Oral 3
Título: Towards an Application of DRL to Informative Path Planning for Heterogeneous ASVsAutores: A. Mendoza, S. Yanes, D. Gutierrez, S. ToralCongreso: XX Conference of the Spanish Association for Artificial Intelligence (CAEPIA’24), A Coruña (Spain), Junio 2024.
PCM_00019 Comunicación Oral 2
Título: Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality MonitoringAutores: L. M. Días, S. Yanes, A. Mendoza, D. Seck, M. Perales, A. Casado, S. Toral, D. Gutierrez, Congreso:XX Conference of the Spanish Association for Artificial Intelligence (CAEPIA’24), A Coruña (Spain), Junio 2024.
PCM_00019 Capítulo de Libro 1
Título: Deep Reinforcement Learning Applied to Multi-agent Informative Path Planning in Environmental MissionsAutores: S. Yanes, M. Perales, D. G. Reina & S. ToralLibro: Mobile Robot: Motion Control and Path Planning, 31-61, Springer, Switzerland, 2023
PCM_00019 Comunicación Oral 1
Título: Deep Variational Auto-Encoder for Model-based Water Quality Patrolling with Intelligent Surface Vehicles, Autores: S. Yanes, S. Toral, D. Gutierrez, Congreso: XX Conference of the Spanish Association for Artificial Intelligence (CAEPIA’24), A Coruña (Spain), Junio 2024.
PCM_00019 Artículo 3
Título: Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehiclesRevista:EXPERT SYSTEMS WITH APPLICATIONS (0957-4174 / 1873-6793)DOI: https://doi.org/10.1016/j.eswa.2025.126483Link: https://www.sciencedirect.com/science/article/pii/S0957417425001058?via%3Dihub#sec6
PCM_00019 Artículo 2
Título: Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning ApproachRevista: IEEE ACCESS (2169-3536 / 2169-3536)DOI: https://doi.org/10.1109/ACCESS.2024.3403790Link: https://ieeexplore.ieee.org/document/10535508
PCM_00019 Artículo 1
Título: Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring.Revista: Advanced Intelligent Systems, 2300850, 1-18, 2024.DOI: https://doi.org/10.1002/aisy.202300850Link: https://advanced.onlinelibrary.wiley.com/doi/full/10.1002/aisy.202300850
