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2020 – today
- 2025
[j9]Samuel Yanes Luis
, Nicola Basilico, Michele Antonazzi, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles. Expert Syst. Appl. 270: 126483 (2025)- 2024
- [j8]Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Informative Deep Reinforcement Path Planning for Heterogeneous Autonomous Surface Vehicles in Large Water Resources. IEEE Access 12: 71835-71852 (2024) - [j7]Dame Seck Diop, Samuel Yanes Luis, Manuel Perales Esteve, Sergio L. Toral Marín, Daniel Gutiérrez-Reina:
Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Access 12: 75559-75576 (2024) - [j6]Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring. Adv. Intell. Syst. 6(8) (2024) - [c4]Samuel Yanes Luis, Nicola Basilico, Michele Antonazzi, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles. CAEPIA 2024: 19-28 - [i4]Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring. CoRR abs/2401.04631 (2024) - [i3]Luis Miguel Díaz, Samuel Yanes Luis, Alejandro Mendoza Barrionuevo, Dame Seck Diop, Manuel Perales Esteve, Alejandro Casado, Sergio Toral, Daniel Gutiérrez-Reina:
Towards an Autonomous Surface Vehicle Prototype for Artificial Intelligence Applications of Water Quality Monitoring. CoRR abs/2410.05892 (2024) - [i2]Alejandro Mendoza Barrionuevo, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning. CoRR abs/2412.02316 (2024) - 2023
- [j5]Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Censored deep reinforcement patrolling with information criterion for monitoring large water resources using Autonomous Surface Vehicles. Appl. Soft Comput. 132: 109874 (2023) - [p1]Samuel Yanes Luis, Manuel Perales Esteve, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Deep Reinforcement Learning Applied to Multi-agent Informative Path Planning in Environmental Missions. Mobile Robot: Motion Control and Path Planning 2023: 31-61 - 2022
- [j4]Samuel Yanes Luis, Federico Peralta, Alejandro Tapia Córdoba, Álvaro Rodríguez del Nozal, Sergio L. Toral Marín, Daniel Gutiérrez-Reina:
An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources. Eng. Appl. Artif. Intell. 112: 104852 (2022) - [c3]Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio Toral:
Maximum Information Coverage and Monitoring Path Planning with Unmanned Surface Vehicles Using Deep Reinforcement Learning. OLA 2022: 13-24 - [i1]Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
Censored Deep Reinforcement Patrolling with Information Criterion for Monitoring Large Water Resources using Autonomous Surface Vehicles. CoRR abs/2210.08115 (2022) - 2021
- [j3]Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
A Multiagent Deep Reinforcement Learning Approach for Path Planning in Autonomous Surface Vehicles: The Ypacaraí Lake Patrolling Case. IEEE Access 9: 17084-17099 (2021) - [j2]Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
A Dimensional Comparison between Evolutionary Algorithm and Deep Reinforcement Learning Methodologies for Autonomous Surface Vehicles with Water Quality Sensors. Sensors 21(8): 2862 (2021) - [c2]Samuel Yanes Luis, Federico Peralta Samaniego, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
A Sample-Efficiency Comparison Between Evolutionary Algorithms and Deep Reinforcement Learning for Path Planning in an Environmental Patrolling Mission. CEC 2021: 71-78 - [c1]Federico Peralta, Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio Toral:
Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study. CEC 2021: 1511-1518 - 2020
- [j1]Samuel Yanes Luis, Daniel Gutiérrez-Reina, Sergio L. Toral Marín:
A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case. IEEE Access 8: 204076-204093 (2020)
Coauthor Index
aka: Sergio Toral
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