Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

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Adaptive pilot design for OFDM based on deep reinforcement learning by Qiaoshou LIU, Xiong ZHOU, Shuang LIU, Yifeng DENG

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Comparison of algorithms using deep reinforcement learning for optimization of hyperbolic metamaterials by Kenta Hamada, Hui-Hsin Hsiao, Wakana Kubo

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NR-U and Wi-Fi spectrum sharing for quality guaranteeing of power services by Junpeng LIU, Weiwei XIA, Han LIU, Chenglin XIU, Feng YAN, Lianfeng SHEN

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Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

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Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy by LI Gang, WU Qi, WANG Xiang, LUO Hao, LI Lianghong, JING Xiaorong, CHEN Qianbin

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Collaborative offloading computing scheme based on energy harvesting technology by WANG Jun, ZHAO Haodong

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Internet intelligent routing architecture and algorithm by Fei GUI, Yang CHENG, Dan LI, Sihong HONG

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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

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Joint optimization of edge computing and caching in NDN by Yu ZHANG, Min CHENG

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On-demand intelligent routing technology for deterministic network by Zhongli WU, Yuanyuan CAO, Wenrui HUANG, Bin DAI, Yijun MO

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Superconducting quantum computing optimization based on multi-objective deep reinforcement learning by Yangting Liu

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Enhanced deep deterministic policy gradient algorithm by Jianping CHEN, Chao HE, Quan LIU, Hongjie WU, Fuyuan HU, Qiming FU

Subjects: “…deep reinforcement learning…”
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Efficient task migration and resource allocation in cloud–edge collaboration: A DRL approach with learnable masking by Yang Wang, Juan Chen, Zongling Wu, Peng Chen, Xi Li, Junfeng Hao

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Vortex gust mitigation from onboard measurements using deep reinforcement learning by Brice Martin, Thierry Jardin, Emmanuel Rachelson, Michael Bauerheim

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Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning by Fei Li, Weifei Tu, Yun Zhou, Heng Li, Feng Zhou, Weirong Liu, Chao Hu

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Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation by WANG Chaowei, PANG Mingliang, WANG Su, ZHAO Lingli, GAO Feifei, CUI Gaofeng, WANG Weidong

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Deep reinforcement learning based algorithm for real-time QoS optimization of software-defined security middle platform by Yuancheng LI, Yongtai QIN

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Reinforcement Learning-Based Sequential Control Policy for Multiple Peg-in-Hole Assembly by Xinyu Liu, Chao Zeng, Chenguang Yang, Jianwei Zhang

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Enhancing Autonomous Driving in Urban Scenarios: A Hybrid Approach with Reinforcement Learning and Classical Control by Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López-Guillén, Felipe Arango, Fabio Sánchez-García, Luis M. Bergasa

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