Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach
Copyright 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License.
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/174394 |
| Acceso en línea: | https://hdl.handle.net/11441/174394 https://doi.org/10.1109/ACCESS.2024.3403790 |
| Access Level: | acceso abierto |
| Palabra clave: | Patrolling problem Multi-agent deep reinforcement learning Multi-task deep reinforcement learning environmental monitoring Exploration and intensification phases Partially observable Markov games Autonomous surface vehicles |
| Sumario: | Copyright 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. |
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