Enhancing Unmanned Aerial Vehicle Path Planning in Multi-Agent Reinforcement Learning through Adaptive Dimensionality Reduction by Haotian Shi, Zilin Zhao, Jiale Chen, Mengjie Zhou, Yang Liu

Subjects: “…multi-agent reinforcement learning (MARL)…”
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MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm by Minrui Zhao, Gang Wang, Qiang Fu, Xiangke Guo, Yu Chen, Yu Chen, Tengda Li, XiangYu Liu

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PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control by Rohit Bokade, Xiaoning Jin

Subjects: “…Multi-Agent Reinforcement Learning (MARL)…”
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A reinforcement learning approach to vehicle coordination for structured advanced air mobility by Sabrullah Deniz, Yufei Wu, Yang Shi, Zhenbo Wang

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Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning by Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert

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Multi-Agent Reinforcement Learning With Measured Difference Reward for Multi-Association in Ultra-Dense mmWave Network by Xuebin Li, Terry N. Guo, Allen B. Mackenzie

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Automatic Generation of Precast Concrete Component Fabrication Drawings Based on BIM and Multi-Agent Reinforcement Learning by Chao Zhang, Xuhong Zhou, Chengran Xu, Zhou Wu, Jiepeng Liu, Hongtuo Qi

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Frequency Diversity Array Radar and Jammer Intelligent Frequency Domain Power Countermeasures Based on Multi-Agent Reinforcement Learning by Changlin Zhou, Chunyang Wang, Lei Bao, Xianzhong Gao, Jian Gong, Ming Tan

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Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions by Mohammad Parvini, Philipp Schulz, Gerhard Fettweis

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MARL based resource allocation scheme leveraging vehicular cloudlet in automotive-industry 5.0 by Manzoor Ahmed, Jinshi Liu, Muhammad Ayzed Mirza, Wali Ullah Khan, Fahd N. Al-Wesabi

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Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning by Yuandou Wang, Hang Liu, Wanbo Zheng, Yunni Xia, Yawen Li, Peng Chen, Kunyin Guo, Hong Xie

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Improving Traffic Efficiency in a Road Network by Adopting Decentralised Multi-Agent Reinforcement Learning and Smart Navigation by Hung Tuan Trinh, Sang-Hoon Bae, Quang Duy Tran

Subjects: “…multi-agent reinforcement learning (marl)…”
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