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Learning in bi-level markov games 会议论文
, Padua, Italy, 2022.7.18-2022.7.23
Authors:  Meng Linghui;  Ruan Jingqing;  Xing Dengpeng;  Xu Bo
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Distributed Optimal Variational GNE Seeking in Merely Monotone Games 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1621-1630
Authors:  Wangli He;  Yanzhen Wang
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Distributed algorithms  equilibria selection  generalized Nash equilibrium (GNE)  merely monotone games  
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
Authors:  Guangzheng Hu;  Yuanheng Zhu;  Haoran Li;  Dongbin Zhao
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Games  Q-learning  Task analysis  Optimization  Convergence  Training  Nash equilibrium  Multi-agent reinforcement learning  minimax-Q learning  two-team zero-sum Markov games  
基于高维神经网络动力学的自监督学习理论研究 学位论文
, 2024
Authors:  孟令寰
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自监督学习  神经网络动力学  高维分析  非线性对比学习模型  
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
Authors:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
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Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
Authors:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
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Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
面向网络空间防御的对抗机器学习研究综述 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 7, 页码: 1625-1649
Authors:  余正飞;  闫巧;  周鋆
Adobe PDF(2039Kb)  |  Favorite  |  View/Download:21/10  |  Submit date:2024/05/20
网络空间防御  对抗机器学习  投毒攻击  规避攻击  对抗样本  
多智能体博弈、学习与控制 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 3, 页码: 580-613
Authors:  王龙;  黄锋
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博弈论  多智能体学习  控制论  强化学习  人工智能  
基于混合数据增强的MSWI过程燃烧状态识别 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 3, 页码: 560-575
Authors:  郭海涛;  汤健;  丁海旭;  乔俊飞
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城市固废焚烧  深度卷积生成对抗网络  燃烧状态识别  非生成式数据增强  混合数据增强  
Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
Authors:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
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Process control  process systems engineering  reinforcement learning