Modeling Collective Behavior for Fish School With Deep Q-Networks by Pengyu Chen, Fang Wang, Shuo Liu, Yifan Yu, Shengzhi Yue, Yanan Song, Yuanshan Lin

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Efficient Integration of Reinforcement Learning in Graph Neural Networks-Based Recommender Systems by Abdurakhmon Sharifbaev, Mikhail Mozikov, Hakimjon Zaynidinov, Ilya Makarov

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Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving by Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash

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A deep q-networks model for optimising decision-making process in the context of energy transition modelling by Ana Tănăsescu, Cristian Bucur, Jean Vasile Andrei, Bogdan-George Tudorică, Dorel Mihai Paraschiv, Dorel Dușmănescu

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Optimization of Beamforming and Transmit Power Using DQN and Comparison With Traditional Techniques by Parmida Geranmayeh, Eckhard Grass

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A comparative study of deep reinforcement learning for crop production management by Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li

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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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An integrating RAG-LLM and deep Q-network framework for intelligent fish control systems by Pobporn Danvirutai, Siripavee Charoenwattanasak, Siriporn Tola, Kampon Thaiso, Bundit Yuangsoi, Hoang Trong Minh, Chavis Srichan

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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

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A Deep Reinforcement Learning Framework for Detecting Fraudulent Bank Account Openings by Abdul Qayoom, Wu Yadong, Wang Song, Sammar Abbas, Nadeem Ghafoor

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Redundant Path Optimization in Smart Ship Software-Defined Networking and Time-Sensitive Networking Networks: An Improved Double-Dueling-Deep-Q-Networks-Based Approach by Yanli Xu, Songtao He, Zirui Zhou, Jingxin Xu

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Quadruple Deep Q-Network-Based Energy Management Strategy for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

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Multistage adaptive cyberattack in power systems with CNN identification feedback loops by Mohannad Alhazmi, Alexis Pengfei Zhao, Xi Cheng, Chenlu Yang

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Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance by Fadi AlMahamid, Katarina Grolinger

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Path Planning Design and Experiment for a Recirculating Aquaculture AGV Based on Hybrid NRBO-ACO with Dueling DQN by Zhengjiang Guo, Yingkai Xia, Jiajun Liu, Jian Gao, Peng Wan, Kan Xu

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A Novel Approach to Autonomous Driving Using Double Deep Q-Network-Bsed Deep Reinforcement Learning by Ahmed Khlifi, Mohamed Othmani, Monji Kherallah

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Research on Mobile Agent Path Planning Based on Deep Reinforcement Learning by Shengwei Jin, Xizheng Zhang, Ying Hu, Ruoyuan Liu, Qing Wang, Haihua He, Junyu Liao, Lijing Zeng

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A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control by Aicha Saadi, Noureddine Abghour, Zouhair Chiba, Khalid Moussaid, Saadi Ali

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Adaptive BBU Migration Based on Deep Q-Learning for Cloud Radio Access Network by Sura F. Ismail, Dheyaa Jasim Kadhim

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