Research on multidimensional dynamic defense strategy for microservice based on deep reinforcement learning by Dacheng ZHOU, Hongchang CHEN, Weizhen HE, Guozhen CHENG, Hongchao HU

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Resource allocation strategy based on deep reinforcement learning in 6G dense network by Fan YANG, Cheng YANG, Jie HUANG, Shilong ZHANG, Tao YU, Xun ZUO, Chuan YANG

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An energy management strategy for integrated electricity-thermal energy systems using the DQN-CE algorithm by ZHU Jiejie, PI Zhiyong, CHEN Daicai, TAN Hong

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Multiple Unmanned Aerial Vehicle Collaborative Target Search by DRL: A DQN-Based Multi-Agent Partially Observable Method by Heng Xu, Dayong Zhu

Subjects: “…deep q-network…”
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UAV path intelligent planning in IoT data collection by Shu FU, Xiangyue YANG, Haijun ZHANG, Chen CHEN, Peng YU, Xin JIAN, Min LIU

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Comparative analysis of Q-learning, SARSA, and deep Q-network for microgrid energy management by Sreyas Ramesh, Sukanth B N, Sri Jaswanth Sathyavarapu, Vishwash Sharma, Nippun Kumaar A. A., Manju Khanna

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A Dynamic Scheduling Method Combining Iterative Optimization and Deep Reinforcement Learning to Solve Sudden Disturbance Events in a Flexible Manufacturing Process by Jun Yan, Tianzuo Zhao, Tao Zhang, Hongyan Chu, Congbin Yang, Yueze Zhang

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Integrating IoT data and reinforcement learning for adaptive macroeconomic policy optimization by Cong Peng, Yongshan Zhang, Liheng Jiang

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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

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Deep Q-Networks for Minimizing Total Tardiness on a Single Machine by Kuan Wei Huang, Bertrand M. T. Lin

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