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多智能体策略一致性奖励塑造算法研究 学位论文
, 2024
Authors:  杨晨
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多智能体系统  深度强化学习  信用分配  奖励塑造  
分层强化学习的子目标生成与探索策略 学位论文
, 2024
Authors:  王开申
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分层强化学习,子目标生成,互信息,扩散模型  
线驱动机器鱼系统设计与应激行为仿生研究 学位论文
, 2024
Authors:  邱常林
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线驱动  仿生机器鱼  应激行为仿生  智能增稳控制  水下环境感知  
面向平行交通系统的城市交通控制基础模型关键技术 学位论文
, 2024
Authors:  赵宸
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平行交通系统  交通控制  平行学习  强化学习  基础模型  
面向特征学习的图像开集识别方法研究 学位论文
, 2024
Authors:  孙珈因
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开集识别  分布建模  层级注意力  频域滤波  反事实去混淆  直推式框架  
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  
Overhead-free Noise-tolerant Federated Learning: A New Baseline 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 526-537
Authors:  Shiyi Lin;  Deming Zhai;  Feilong Zhang;  Junjun Jiang;  Xianming Liu;  Xiangyang Ji
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Federated learning, noise-label learning, privacy-preserving machine learning, edge intelligence, distributed machine learning  
Ripple Knowledge Graph Convolutional Networks for Recommendation Systems 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 481-494
Authors:  Chen Li;  Yang Cao;  Ye Zhu;  Debo Cheng;  Chengyuan Li;  Yasuhiko Morimoto
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Deep learning, recommendation systems, knowledge graph, graph convolutional networks (GCNs), graph neural networks (GNNs)  
Collective Movement Simulation: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 452-480
Authors:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
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Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
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
Adobe PDF(2923Kb)  |  Favorite  |  View/Download:5/4  |  Submit date:2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox