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浏览/检索结果:
共13条,第1-10条
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发表日期:2022
资助机构:National Natural Science Foundation of China
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Deep Reinforcement Learning With Part-Aware Exploration Bonus in Video Games
期刊论文
IEEE TRANSACTIONS ON GAMES, 2022, 卷号: 14, 期号: 4, 页码: 644-653
作者:
Xu, Pei
;
Yin, Qiyue
;
Zhang, Junge
;
Huang, Kaiqi
Adobe PDF(1480Kb)
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收藏
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浏览/下载:329/82
  |  
提交时间:2023/02/22
Deep learning
exploration
reinforcement learning
video game
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 53, 期号: 4, 页码: 2062-2072
作者:
Zhao, Chen
;
Dai, Xingyuan
;
Lv, Yisheng
;
Niu, Jinglong
;
Lin, Yilun
Adobe PDF(1921Kb)
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  |  
浏览/下载:270/5
  |  
提交时间:2023/02/22
Intelligent Transportation Systems (ITS)
Artificial Systems, Computational Experiments, Parallel Execution (ACP)
Cyber–Physical–Social Systems (CPSS)
Policy decision of curling in real competition scenes
期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2022, 页码: 12
作者:
Xiao, Qian
;
Li, Zongmin
;
Wang, Xiangdong
;
Liu, Yujie
;
Li, Yachuan
;
Yang, Chaozhi
;
Li, Feimo
收藏
  |  
浏览/下载:375/0
  |  
提交时间:2023/02/22
Reinforcement learning
Curling policy decision
Game tree search
Deep learning
Discrete soft actor-critic with auto-encoder on vascular robotic system
期刊论文
ROBOTICA, 2022, 页码: 12
作者:
Li, Hao
;
Zhou, Xiao-Hu
;
Xie, Xiao-Liang
;
Liu, Shi-Qi
;
Gui, Mei-Jiang
;
Xiang, Tian-Yu
;
Wang, Jin-Li
;
Hou, Zeng-Guang
Adobe PDF(715Kb)
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收藏
  |  
浏览/下载:256/2
  |  
提交时间:2023/01/09
surgical robots
vascular robotic system
automation
reinforcement learning
deep neural network
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization
期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:
Sun, Yinqian
;
Zeng, Yi
;
Li, Yang
Adobe PDF(1561Kb)
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收藏
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浏览/下载:258/37
  |  
提交时间:2022/11/14
brain-inspired decision model
SDQN
reinforcement learning
potential normalization
spiking activity
An Integrated Data Envelopment Analysis and Non-Cooperative Game Approach for Public Transportation Incentive Subsidy Allocation
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 16
作者:
Xie, Qiwei
;
Wu, Xiao
;
Dai, Qianzhi
;
Zheng, Xiaolong
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:211/0
  |  
提交时间:2022/09/19
Resource management
Costs
Government
Games
Industries
Behavioral sciences
Data envelopment analysis
Subsidy allocation
data envelopment analysis
information asymmetry
Nash non-cooperative game
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication
期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:
Pu, Zhiqiang
;
Ai, Xiaolin
;
Yi, Jianqiang
Adobe PDF(1775Kb)
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收藏
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浏览/下载:299/38
  |  
提交时间:2022/07/25
Multi-agent systems
Integrated game and control
Velocity constraint
Input saturation
Event-triggered communication
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Wei, Qinglai
;
Li, Yugu
;
Zhang, Jie
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:241/0
  |  
提交时间:2022/07/25
Mathematical models
Task analysis
Games
Q-learning
Neural networks
Behavioral sciences
Training
Deep learning
graph attention networks (GATs)
multiagent systems
reinforcement learning
Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 3, 页码: 11
作者:
Fan, Junsong
;
Wang, Yuxi
;
Guan, He
;
Song, Chunfeng
;
Zhang, Zhaoxiang
Adobe PDF(4804Kb)
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收藏
  |  
浏览/下载:316/54
  |  
提交时间:2022/06/10
domain adaptation
semantic segmentation
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Zhen
;
Yi, Jianqiang
;
Wu, Shiguang
Adobe PDF(2967Kb)
  |  
收藏
  |  
浏览/下载:347/51
  |  
提交时间:2022/06/06
Training
Reinforcement learning
Games
Scalability
Task analysis
Standards
Optimization
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems