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Learning Robust Communication by Adversarial Training in Networked System Control
期刊论文
Lecture Notes in Electrical Engineering, 2024, 页码: Chapter 52 978-981-97-3335-4
作者:
Runji, Lin
;
Haifeng, Zhang
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提交时间:2024/06/11
Networked System Control
Robustness
Communicative Multi-Agent Reinforcement Learning
An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 15
作者:
Ma, Song
;
Ruan, Jingqing
;
Du, Yali
;
Bucknall, Richard
;
Liu, Yuanchang
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提交时间:2024/05/30
Deep reinforcement learning
task allocation
multi-agent planning
field robotics
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
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浏览/下载:2/0
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提交时间:2024/01/23
Avatar
blockchain
metaverses
multi-agent deep reinforcement learning
transformer
UAVs
Designing Proportional-Integral Consensus Protocols for Second-Order Multi-Agent Systems Using Delayed and Memorized State Information
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 878-892
作者:
Honghai Wang
;
Qing-Long Han
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浏览/下载:3/0
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提交时间:2024/03/18
Consensus protocol
Hurwitz stability
multi-agent systems
quasi-polynomials
time delay
Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050
作者:
Chi Ma
;
Dianbiao Dong
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提交时间:2024/03/18
Finite-time control
multi-agent systems
neural network
prescribed performance control
time-varying formation control
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
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浏览/下载:2/0
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提交时间:2024/03/13
production planning and scheduling
multi-agent reinforcement learning
flexible job shop
path flexibility
technological flexibility
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604
作者:
Kun Jiang
;
Wenzhang Liu
;
Yuanda Wang
;
Lu Dong
;
Changyin Sun
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提交时间:2024/06/07
Latent variable model
maximum entropy
multi-agent reinforcement learning (MARL)
multi-agent system
Hyperbolic Tangent Function-Based Protocols for Global/Semi-Global Finite-Time Consensus of Multi-Agent Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1381-1397
作者:
Zongyu Zuo
;
Jingchuan Tang
;
Ruiqi Ke
;
Qing-Long Han
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提交时间:2024/05/22
Consensus protocol
finite-time consensus
hyperbolic tangent function
multi-agent systems
Enhancing Multi-agent Coordination via Dual-channel Consensus
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 349-368
作者:
Qingyang Zhang
;
Kaishen Wang
;
Jingqing Ruan
;
Yiming Yang
;
Dengpeng Xing
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浏览/下载:0/0
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提交时间:2024/04/23
Multi-agent reinforcement learning, contrastive representation learning, consensus, multi-agent cooperation, cognitive consistency
An Empirical Study on Google Research Football Multi-agent Scenarios
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
作者:
Yan Song
;
He Jiang
;
Zheng Tian
;
Haifeng Zhang
;
Yingping Zhang
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提交时间:2024/05/23
Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory
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