Reinforcement Learning for Nuclear Microreactor Control

University of Michigan researchers are advancing autonomous nuclear microreactors by using machine learning to optimize power generation. Their latest study shows how taking advantage of the reactors’ natural symmetry can dramatically reduce training time for AI models, making real-time, automated control more feasible. This breakthrough could lead to safer, more efficient energy solutions for remote areas, disaster zones, and even space missions. Read on to learn more about their work.