| A multiagent deep reinforcement learning approach for path planning in autonomous surface vehicles: The Ypacaraí lake patrolling case SY Luis, DG Reina, SLT Marín IEEE Access 9, 17084-17099, 2021 | 68 | 2021 |
| A Deep Reinforcement Learning Approach for the Patrolling Problem of Water Resources Through Autonomous Surface Vehicles: The Ypacarai Lake Case SY Luis, DG Reina, SLT Marín IEEE Access 8, 204076-204093, 2020 | 45 | 2020 |
| A dimensional comparison between evolutionary algorithm and deep reinforcement learning methodologies for autonomous surface vehicles with water quality sensors S Yanes Luis, D Gutiérrez-Reina, S Toral Marín Sensors 21 (8), 2862, 2021 | 21 | 2021 |
| An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources SY Luis, F Peralta, AT Córdoba, ÁR del Nozal, ST Marín, DG Reina Engineering Applications of Artificial Intelligence 112, 104852, 2022 | 18 | 2022 |
| Monitoring water resources through a bayesian optimization-based approach using multiple surface vehicles: The ypacarai lake case study F Peralta, S Yanes, DG Reina, S Toral 2021 IEEE Congress on Evolutionary Computation (CEC), 1511-1518, 2021 | 7 | 2021 |
| A sample-efficiency comparison between evolutionary algorithms and deep reinforcement learning for path planning in an environmental patrolling mission SY Luis, FP Samaniego, DG Reina, ST Marin 2021 IEEE Congress on Evolutionary Computation (CEC), 71-78, 2021 | 6 | 2021 |
| Censored deep reinforcement patrolling with information criterion for monitoring large water resources using Autonomous Surface Vehicles SY Luis, D Gutiérrez-Reina, ST Marín Applied Soft Computing 132, 109874, 2023 | 5 | 2023 |
| Deep reinforcement learning applied to multi-agent informative path planning in environmental missions S Yanes Luis, M Perales Esteve, D Gutiérrez Reina, S Toral Marín Mobile Robot: Motion Control and Path Planning, 31-61, 2023 | 4 | 2023 |
| Detection of planting systems in olive groves based on open-source, high-resolution images and convolutional neural networks C Martínez-Ruedas, S Yanes-Luis, JM Díaz-Cabrera, D Gutiérrez-Reina, ... Agronomy 12 (11), 2700, 2022 | 3 | 2022 |
| Convolutional Neural Networks for Planting System Detection of Olive Groves C Martínez-Ruedas, S Yanes Luis, JM Díaz-Cabrera, D Gutiérrez Reina, ... Innovations in Machine and Deep Learning: Case Studies and Applications, 373-399, 2023 | 1 | 2023 |
| Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles S Yanes Luis, N Basilico, M Antonazzi, D Gutiérrez Reina, S Toral Marín Conference of the Spanish Association for Artificial Intelligence, 19-28, 2024 | | 2024 |
| Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach DS Diop, SY Luis, MP Esteve, SLT Marín, DG Reina IEEE Access, 2024 | | 2024 |
| Informative Deep Reinforcement Path Planning for Heterogeneous Autonomous Surface Vehicles in large water resources AM Barrionuevo, SY Luis, DG Reina, SLT Marín IEEE Access, 2024 | | 2024 |
| Informative Deep Reinforcement Path Planning for Heterogeneous Autonomous Surface Vehicles in Large Water Resources A Mendoza Barrionuevo, S Yanes Luis, D Gutiérrez Reina, SL Toral IEEE Access, 12, 1109., 2024 | | 2024 |
| Deep reinforcement learning for adaptive monitarizacion and patrolling of water resources with unmanned surface vehicles S Yanes-Luis Universidad de Sevilla, 2024 | | 2024 |
| Deep Reinforcement Multiagent Learning Framework for Information Gathering with Local Gaussian Processes for Water Monitoring S Yanes Luis, D Shutin, J Marchal Gómez, D Gutiérrez Reina, ... Advanced Intelligent Systems, 2300850, 2024 | | 2024 |
| Aplicación de técnicas de Deep Reinforcement Learning a misiones de exploración para vehículos autónomos en escenarios lacustres S Yanes Luis | | 2020 |
| Análisis y modelado de un vehículo VTOL híbrido. Caso bidimensional S Yanes Luis | | 2019 |
| Interference Classification in WiFi Environments using commercial Access Points J Candelario, F Salvago, P Aguilera, S Yanes, F Peralta, DG Reina, ... | | |
Daniel Gutiérrez ReinaUniversidad de Sevilla在 us.es 的电子邮件经过验证
