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Deok-Young Lee, jaeha shin, Jae-yoon Choi
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8 pages and 7 sections
Deok-Young Lee, jaeha shin, Jae-yoon Choi
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8 pages and 7 sections
Deok-Young Lee, jaeha shin, Jae-yoon Choi
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We report an experimental implementation of deep reinforcement learning (RL) for optimizing the loading stage of a ⁶Li magneto-optical trap (MOT) in a high-dimensional continuous control space. An off-policy actor-critic agent observes in-situ fluorescence images at 111 ms intervals and updates seven experimental param...
Deok-Young Lee, jaeha shin, Jae-yoon Choi
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We report an experimental implementation of deep reinforcement learning (RL) for optimizing the loading stage of a ⁶Li magneto-optical trap (MOT) in a high-dimensional continuous control space. An off-policy actor-critic agent observes in-situ fluorescence images at 111 ms intervals and updates seven experimental param...
Deok-Young Lee, jaeha shin, Jae-yoon Choi
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8 pages and 7 sections
Deok-Young Lee, jaeha shin, Jae-yoon Choi
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