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	UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445 作者: Jiawen Kang; Junlong Chen; Minrui Xu; Zehui Xiong; Yutao Jiao 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/01/23 Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs
	Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文 MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25 作者: Peng, Shaoming; Xiong, Gang; Yang, Jing; Shen, Zhen; Tamir, Tariku Sinshaw 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/03/13 production planning and scheduling multi-agent reinforcement learning flexible job shop path flexibility technological flexibility
	An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2081-2093 作者: Zhe Chen; Ning Li 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/09/22 Distributed optimization multi-agent optimal control reinforcement learning (RL)
	Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method 期刊论文 Ad Hoc Networks, 2022, 卷号: 136 作者: Xue, Jianbin; Wu, Qingqing; Zhang, Haijun 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/09/22 Antennas computation offloading Convex optimization Cost effectiveness Deep learning Energy utilization Learning algorithms Learning systems Markov processes Mobile edge computing Multi agent systems Power control Reinforcement learning Unmanned aerial vehicles (UAV) Aerial vehicle Computation offloading Costs Optimization Deep reinforcement learning Edge computing Multi-access edge computing Multiaccess Reinforcement learnings Unmanned aerial vehicle User equipments
	Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems 会议论文意大利, 2022-7 作者: Chen YQ(陈逸群); Yang Wei; Tianle Zhang; Shiguang Wu; Hongxing Chang 收藏 \| 浏览/下载：4/0 \| 提交时间：2023/06/28
	A multi process value-based reinforcement learning environment framework for adaptive traffic signal control 期刊论文 Journal of Control and Decision, 2022 作者: Cao, Jie; Huang, Dailin; Hou, Liang; Ma, Jialin 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/07/20 Computer aided instruction Memory architecture Process control Program processors Reinforcement learning Traffic congestion Adaptive traffic signal control Multi-Processes Process methods Process values Sampling efficiency Shared memory Simulation of urban mobility Single process Urban mobility Value-based
	Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrialwireless networks 期刊论文 Frontiers of Information Technology & Electronic Engineering, 2022, 卷号: 23, 期号: 1, 页码: 47-60 作者: Liu XY(刘晓宇); Xu C(许驰); Yu HB(于海斌); Zeng P(曾鹏) 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/01/27 Multi-agent deep reinforcement learning End–edge orchestrated Industrial wireless networks Delay Energy consumption
	The Important Role of Global State for Multi-Agent Reinforcement Learning 期刊论文 Future Internet, 2022, 卷号: 14, 期号: 1, 页码: 1-9 作者: Li SL(李帅龙); Zhang W(张伟); Leng YQ(冷雨泉); Wang XH(王晓辉) 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/01/27 multi-agent reinforcement learning environmental information deep reinforcement learning
	MiaoSuan Wargame: A Multi-Mode Integrated Platform for Imperfect Information Game 会议论文 Beijing, China, August 21-24, 2022 作者: Jiale Xu; Jian Hu; Shixian Wang; Xuyang Yang; Wancheng Ni 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/06/28 open platform human-computer gaming AI evaluation Turing test imperfect information game wargame
	Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Hu, Guangzheng; Zhu, Yuanheng; Zhao, Dongbin; Zhao, Mengchen; Hao, Jianye 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/01/27 Bandwidth Protocols Reinforcement learning Task analysis Optimization Communication networks Multi-agent systems Event trigger limited bandwidth multi-agent communication multi-agent reinforcement learning (MARL)

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