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Updated: Jan 15, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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多任务元初始化DQN,用于快速适应O-RAN中看不见的切片任务

Bosen Zeng1,2,3, Xianhua Niu4

  • 1Key Laboratory of Interior Layout Optimization and Security, Institutions of Higher Education of Sichuan Province, Chengdu Normal University, Chengdu, Sichuan, China.

PloS one
|October 9, 2025
PubMed
概括

M2DQN通过结合多任务学习 (MTL) 和元学习来增强开放无线电接入网络 (O-RAN) 切片. 这种混合方法提高了深度强化学习 (DRL) 的稳定性和新任务的性能.

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