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(A) study of reinforcement learning implementation and building reinforcement learning environment using supervised learning for generating nuclear power plant accidents scenario = 원전 사고 시나리오 생성을 위한 강화학습 구현 및 지도학습을 통한 강화학습 환경 구축 연구link Song, Seok-Ho; Lee, Jeong Ik; et al, 한국과학기술원, 2022 |
Applying Supervised Learning Algorithm to Nuclear Power Plant Severe Accident Data Generated from MAAP Code 송석호; 이정익, 한국원자력학회 2022추계학술발표회, 한국원자력학회, 2022-10 |
Development of a Real-time Interactive Nuclear Power Plant Accident Simulation Using Supervised Learning 송석호; 이연하; 이정익, 한국원자력학회 2022춘계학술발표회, 한국원자력학회, 2022-05 |
Inferring Severe Accident Scenarios in Nuclear Power Plants with Reinforcement Learning (RL) and Supervised Learning (SL) Approaches: Part2 RL Development 송석호; 이연하; 주세민; 이정익; 김성중, 한국원자력학회 2023춘계학술발표회, 한국원자력학회, 2023-05 |
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