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elliptic pdes 1localized orthogonal decomposition 1multiscale problems 1neural operators 1surrogate modeling 1

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20242026
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physics.plasm-ph2024

Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning

Jinsu Kim, Jaemin Seo

This research explores the application of Deep Reinforcement Learning (DRL) to optimize the design of a nuclear fusion reactor. DRL can efficiently address the challenging issues a…