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Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 1, 页码: 121-132
作者:
Wu, Shiguang
;
Pu, Zhiqiang
;
Qiu, Tenghai
;
Yi, Jianqiang
;
Zhang, Tianle
收藏
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浏览/下载:89/0
  |  
提交时间:2023/03/20
Robots
Optimization
Maintenance engineering
Task analysis
Informatics
Topology
Reinforcement learning
Connectivity maintenance
deep reinforcement learning (DRL)
multirobot system
multitarget coverage
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1-15
作者:
Zhang TL(张天乐)
;
Liu Z(刘振)
;
Yi JQ(易建强)
;
Wu SG(吴士广)
;
Pu ZQ(蒲志强)
;
Zhao YJ(赵彦杰)
Adobe PDF(2718Kb)
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收藏
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浏览/下载:241/87
  |  
提交时间:2023/06/02
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)
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收藏
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浏览/下载:306/42
  |  
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
Deep reinforcement learning based multi-target coverage with connectivity guaranteed
期刊论文
IEEE Transactions on Industrial Informatics, 2022, 期号: 2022, 页码: 1-12
作者:
Shiguang Wu
;
Zhiqiang Pu
;
Tenghai Qiu
;
Jianqiang Yi
;
Tianle Zhang
Adobe PDF(15731Kb)
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收藏
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浏览/下载:255/32
  |  
提交时间:2022/04/02
Multi-target coverage
multi-robot system
connectivity maintenance
deep reinforcement learning
Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 10, 页码: 6614-6623
作者:
Wei, Qinglai
;
Liao, Zehua
;
Shi, Guang
Adobe PDF(1229Kb)
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收藏
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浏览/下载:251/33
  |  
提交时间:2021/11/02
Optimal control
Process control
Smart homes
Dynamic programming
Numerical models
Iterative methods
Informatics
Actor-critic learning
adaptive critic designs
adaptive dynamic programming (ADP)
approximate dynamic programming
energy management
optimal control
smart grid
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:
Zezhi Sui
;
Zhiqiang Pu
;
Jianqiang Yi
;
Shiguang Wu
Adobe PDF(5344Kb)
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浏览/下载:224/75
  |  
提交时间:2022/04/02
Collision avoidance
deep reinforcement learning (DRL)
formation control
leader–follower
Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances
期刊论文
NEUROCOMPUTING, 2020, 卷号: 396, 页码: 201-208
作者:
Zhao, Bo
;
Shi, Guang
;
Wang, Ding
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  |  
浏览/下载:207/0
  |  
提交时间:2020/07/06
Adaptive dynamic programming
Adaptive critic designs
Mismatched external disturbances
Disturbance observer
Optimal control
Neural networks
Nested tuning law
An echo state network based approach to room classification of office buildings
期刊论文
NEUROCOMPUTING, 2019, 卷号: 333, 页码: 319-328
作者:
Shi, Guang
;
Zhao, Bo
;
Li, Chao
;
Wei, Qinglai
;
Liu, Derong
收藏
  |  
浏览/下载:302/0
  |  
提交时间:2019/07/12
Power consumption
Room classification
Echo state networks
Neural networks
Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 12, 页码: 9527-9537
作者:
Wei, Qinglai
;
Lewis, Frank L.
;
Shi, Guang
;
Song, Ruizhuo
收藏
  |  
浏览/下载:235/0
  |  
提交时间:2018/03/03
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Home Energy Systems
Optimal Control
Smart Grid
Optimization of electricity consumption in office buildings based on adaptive dynamic programming
期刊论文
SOFT COMPUTING, 2017, 卷号: 21, 期号: 21, 页码: 6369-6379
作者:
Shi, Guang
;
Wei, Qinglai
;
Liu, Derong
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Adobe PDF(1611Kb)
  |  
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浏览/下载:448/184
  |  
提交时间:2017/02/23
Office Buildings
Electricity Consumption Optimization
Battery Management
Optimal Control
Adaptive Dynamic Programming
Neural Networks