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Reinforcement learning in cold atom experiments

Physics

Reinforcement learning in cold atom experiments

M. Reinschmidt, J. Fortágh, et al.

This groundbreaking research explores the innovative application of reinforcement learning to control magneto-optical traps in cold atom experiments. Led by Malte Reinschmidt, József Fortágh, Andreas Günther, and Valentin V. Volchkov, the study reveals how machines can optimize atom cooling and adapt to new operational modes, showcasing robust performance even in unforeseen situations.... show more

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