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Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
Loukia Avramelou1, Manos Kirtas1, Nikolaos Passalis2
1Computational Intelligence and Deep Learning Research Group, Dept. of Informatics, Aristotle University of Thessaloniki, Greece.
研究人员开发了一种新的深度强化学习 (DRL) 优化方法,可以提高训练的稳定性和速度. 这种新方法使用了一种独特的信号更换机制,提高了DRL代理在复杂任务中的稳定性.
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