Reinforcement Learning-Based Control Sequence Optimization for Advanced Reactors

The last decade has seen the development and application of data-driven methods taking off in nuclear engineering research, aiming to improve the safety and reliability of nuclear power. This work focuses on developing a reinforcement learning-based control sequence optimization framework for advanc...

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Bibliographic Details

Published in:	Journal of Nuclear Engineering
Main Authors:	Khang H. N. Nguyen, Andy Rivas, Gregory Kyriakos Delipei, Jason Hou
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	advanced reactors small modular reactors machine learning reinforcement learning control sequence optimization
Online Access:	https://www.mdpi.com/2673-4362/5/3/15