A Comparative Study of a Deep Reinforcement Learning Solution and Alternative Deep Learning Models for Wildfire Prediction

Wildfires pose an escalating threat to ecosystems and human settlements, making accurate forecasting essential for early mitigation. This study compared three deep learning models for wildfire prediction: Deep Reinforcement Learning (DRL) with Actor–Critic architecture, Convolutional Neural Network...

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主要な著者:	Cristian Vidal-Silva, Roberto Pizarro, Miguel Castillo-Soto, Ben Ingram, Claudia de la Fuente, Vannessa Duarte, Claudia Sangüesa, Alfredo Ibañez
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-04-01
シリーズ:	Applied Sciences
主題:	wildfire prediction deep reinforcement learning actor–critic machine learning convolutional neural networks transformer models
オンライン･アクセス:	https://www.mdpi.com/2076-3417/15/7/3990
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