Joint Adaptive OFDM and Reinforcement Learning Design for Autonomous Vehicles: Leveraging Age of Updates by Mamady Delamou, Ahmed Naeem, Huseyin Arslan, El Mehdi Amhoud

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A Reinforcement Learning-Based Dynamic Clustering of Sleep Scheduling Algorithm (RLDCSSA-CDG) for Compressive Data Gathering in Wireless Sensor Networks by Alaa N. El-Shenhabi, Ehab H. Abdelhay, Mohamed A. Mohamed, Ibrahim F. Moawad

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Multi-Objective Dynamic Path Planning with Multi-Agent Deep Reinforcement Learning by Mengxue Tao, Qiang Li, Junxi Yu

Subjects: “…multi-agent reinforcement learning…”
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Recommended System Optimization in Social Networks Based on Cooperative Filter with Deep MVR Algorithm by Kim Hung Pho

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3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning by Minho Cho, Euntai Kim

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A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

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IALight: Importance-Aware Multi-Agent Reinforcement Learning for Arterial Traffic Cooperative Control by Lu WEI, Xiaoyan ZHANG, Lijun FAN, Lei GAO, Jian YANG

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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

Subjects: “…reinforcement learning…”
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RL4CEP: reinforcement learning for updating CEP rules by Afef Mdhaffar, Ghassen Baklouti, Yassine Rebai, Mohamed Jmaiel, Bernd Freisleben

Subjects: “…Deep Reinforcement Learning…”
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Perspectives on Soft Actor–Critic (SAC)-Aided Operational Control Strategies for Modern Power Systems with Growing Stochastics and Dynamics by Jinbo Liu, Qinglai Guo, Jing Zhang, Ruisheng Diao, Guangjun Xu

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UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design by Jin Dai, Yunfei Gao, Chao Cai, Wei Xiong, Manjia Liu

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Internet of Things Optimal Routing based on Markov-Reinforcement Learning Algorithm by Jamal M.Ali Radha, Raza Y. Abdulrahman

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Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation by Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer Tareq Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman

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Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

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On Quantum Natural Policy Gradients by Andre Sequeira, Luis Paulo Santos, Luis Soares Barbosa

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The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

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Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

Subjects: “…Deep reinforcement learning…”
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