4 citations · 7 across the 22 of their papers we have counts for
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Multi-time Predictions of Wildfire Grid Map using Remote Sensing Local Data
Hyung-Jin Yoon, Petros Voulgaris
Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation…
Learning Wildfire Model from Incomplete State Observations
Alissa Chavalithumrong, Hyung-Jin Yoon, Petros Voulgaris
As wildfires are expected to become more frequent and severe, improved prediction models are vital to mitigating risk and allocating resources. With remote sensing data, valuable s…
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process
Hyung-Jin Yoon, Donghwan Lee, Naira Hovakimyan
The objective is to study an on-line Hidden Markov model (HMM) estimation-based Q-learning algorithm for partially observable Markov decision process (POMDP) on finite state and ac…