Search Results - "Jongkook Heo"

Sample-efficient multi-agent reinforcement learning with masked reconstruction by Kim, Jung In, Lee, Young Jae, Heo, Jongkook, Park, Jinhyeok, Kim, Jaehoon, Lim, Sae Rin, Jeong, Jinyong, Kim, Seoung Bum

“…Deep reinforcement learning (DRL) is a powerful approach that combines reinforcement learning (RL) and deep learning to address complex decision-making…”
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Identification of primary input parameters affecting evacuation in ventilated main control room through CFAST simulations and application of a machine learning algorithm to replace CFAST model by Singh, Sumit Kumar, Bae, Jinsoo, Zhang, Yu, Lim, Saerin, Heo, Jongkook, Kim, Seoung Bum, Shin, Weon Gyu

“…Accurately predicting evacuation time in a ventilated main control room (MCR) during fire emergencies is crucial for ensuring the safety of personnel at…”
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Identification of primary input parameters affecting evacuation in ventilated main control room through CFAST simulations and application of a machine learning algorithm to replace CFAST model by Sumit Kumar Singh, Jinsoo Bae, Yu Zhang, Saerin Lim, Jongkook Heo, Seoung Bum Kim, Weon Gyu Shin

“…Accurately predicting evacuation time in a ventilated main control room (MCR) during fire emergencies is crucial for ensuring the safety of personnel at…”
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Self- and semi-supervised learning for evacuation time modeling within fire emergencies in nuclear power plants by Jang, Geonhui, Singh, Sumit Kumar, Lim, Saerin, Bae, Jinsoo, Heo, Jongkook, Zhang, Yu, Shin, Weon Gyu, Kim, Seoung Bum

“…Using neural networks for effective emergency response planning is essential to safeguard nuclear power plants and their surroundings swiftly and accurately…”
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Sample-efficient multi-agent reinforcement learning with masked reconstruction by Jung In Kim, Young Jae Lee, Jongkook Heo, Jinhyeok Park, Jaehoon Kim, Sae Rin Lim, Jinyong Jeong, Seoung Bum Kim

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