“The way that AI helps, as suggested by many recent studies, is to replace numerical optimization with methods like reinforcement learning. Reinforcement learning models can be trained on numerous operation scenarios, and once trained, they can make scalable decisions in very short time—they can reduce the runtime by at least three orders of magnitude. They can make decisions in a fraction of a second, as opposed to numerical methods that require minutes or even hours for a larger-scale problem,” Hosseini said.
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