Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control by Tianyu Shi, Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

Subjects: “…Distributional reinforcement learning…”
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Sum Rate Maximization for Active RIS MISO Systems Based on DRL by Zhipeng Xi, Jianbo Ji

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Optimal feedback control of dynamical systems via value-function approximation by Kunisch, Karl, Walter, Daniel

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SHM-Traffic: DRL and Transfer Learning Based UAV Control for Structural Health Monitoring of Bridges With Traffic by Divija Swetha Gadiraju, Saeed Eftekhar Azam, Deepak Khazanchi

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Digital Twin-Empowered Robotic Arm Control: An Integrated PPO and Fuzzy PID Approach by Yuhao Cen, Jianjue Deng, Ye Chen, Haoxian Liu, Zetao Zhong, Bo Fan, Le Chang, Li Jiang

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Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

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Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG by Zhiyong Zhong, Zhangyou Peng

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Digital twin based intelligent urban traffic forecasting and guidance strategy by Xiwen LIAO, Supeng LENG, Yujun MING, Tianyang LI

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Heterogeneous computing network resource management based on virtual network embedding by YU Jinghang, ZHAO Yichen, WANG Ling, CHEN Xin, ZOU Haodong

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Research on Strategies and Technologies for Resource Management and Control of Heterogeneous Network of High and Low Orbit Satellites by Meirong ZHANG, Mengting HAO, Chuang WANG, Gengxin ZHANG

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Multi-Ground Station Collaborative Measurement and Control Technology for Giant Constellation System by Yang LIU, Di ZHOU, Min SHENG, Jiandong LI, Shiguang HAO, Xiaotian ZHENG

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Hybrid learning strategies: integrating supervised and reinforcement techniques for railway wheel wear management with limited measurement data by Jessada Sresakoolchai, Chayut Ngamkhanong, Sakdirat Kaewunruen

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A Data-Intelligence-Driven Digital Twin Framework for Improving Sustainability in Logistics by Ibrahim Abdullahi, Hadi Larijani, Dimitrios Liarokapis, James Paterson, David Jones, Stewart Murray

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Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach by Ying-Chuan Ni, Victor L. Knoop, Julian F. P. Kooij, Bart van Arem

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EMO-TS: An Enhanced Multi-Objective Optimization Algorithm for Energy-Efficient Task Scheduling in Cloud Data Centers by S. Nambi, P. Thanapal

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Bias-free policy evaluation in the discrete-time adaptive linear quadratic optimal control in the presence of stochastic disturbances by Vina Putri Virgiani, Natsuki Ishigaki, Shiro Masuda

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Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems by Chenfei Xie, Yue Xiu, Songjie Yang, Qilong Miao, Lu Chen, Yong Gao, Zhongpei Zhang

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Energy efficient control of indoor environments under time-varying multi-parameter uncertainty by Jianhao ZHAO, Hua SONG, Xinyuan NAN, Xin CAI

Subjects: “…environmental quality monitoring and assessment; reinforcement learn; ddpg; per; energy saving control…”
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Swarm Confrontation Algorithm for UGV Swarm with Quantity Advantage by a Novel MSRM-MAPOCA Training Method by Huanli Gao, Chongming Zhao, Xinghe Yu, Shuangfei Ren, He Cai

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RETRACTED: Optimizing electric vehicle charging schedules and energy management in smart grids using an integrated GA-GRU-RL approach by Xinhui Zhao, Guojun Liang

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