Application of genetic algorithm and deep reinforcement learning for in-core fuel management
Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, May, 2020 === Cataloged from the official PDF of thesis. === Includes bibliographical references (page 21). === The nuclear reactor core is composed of few hundred assemblies. The loading of these ass...
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| Format: | Others |
| Language: | English |
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Massachusetts Institute of Technology
2020
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| Online Access: | https://hdl.handle.net/1721.1/127308 |