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自动化研究所 [6]
兰州理工大学 [5]
长春光学精密机械与物... [1]
沈阳自动化研究所 [1]
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期刊论文 [7]
会议论文 [6]
发表日期
2019 [13]
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Addressing Reward Engineering for Deep Reinforcement Learning on Multi-stage Task
会议论文
Australia, 2019-12
作者:
Chen, Bin
;
Su, Jianhua
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/06/08
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games
会议论文
Xiamen, China, 2019-12-6
作者:
Li WF(李伟凡)
;
Zhu YH(朱圆恒)
;
Zhao DB(赵冬斌)
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  |  
浏览/下载:0/0
  |  
提交时间:2023/06/28
reinforcement learning
unsupervised clustering
matrix game
Distributed iterative learning coordination control for leader-follower uncertain nonlinear multi-agent systems with input saturation
期刊论文
IET Control Theory and Applications, 2019, 卷号: 13, 期号: 14, 页码: 2252-2260
作者:
Yang, Nana
;
Li, Junmin
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  |  
浏览/下载:1/0
  |  
提交时间:2020/11/14
Adaptive control systems
Distributed parameter control systems
Learning systems
Adaptive iterative learning
Coordination control
Distributed control protocols
Finite time intervals
Formation control problems
Initial conditions
Iterative learning
Nonlinear multi-agent systems
Distributed iterative learning coordination control for leader-follower uncertain non-linear multi-agent systems with input saturation
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 14, 页码: 2252-2260
作者:
Yang, Nana
;
Li, Junmin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/15
learning (artificial intelligence)
nonlinear control systems
adaptive control
control system synthesis
uncertain systems
multi-robot systems
learning systems
iterative methods
multi-agent systems
distributed control
Lyapunov methods
nonlinear multiagent systems
input saturation
fully distributed adaptive iterative learning coordination control
nonlinear leader-follower multiagent systems
alignment initial condition
novel adaptive distributed
control protocol
fully saturated parameter learning law
global perfect consensus tracking
consensus tracking problem
formation control problem
New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 卷号: 356, 期号: 12, 页码: 6571-6590
作者:
Yang, Nana
;
Li, Junmin
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  |  
浏览/下载:4/0
  |  
提交时间:2019/11/15
Adaptive control systems
Distributed parameter control systems
Graph theory
Learning algorithms
Learning systems
Lyapunov functions
Nonlinear control systems
Time varying control systems
Algebraic graph theory
Distributed consensus
Distributed protocols
Lyapunov-Krasovskii functionals
Parameter uncertainty
Repetitive learning control
Simulation example
Time varying coupling
Leader-following consensus of multi-agent systems with uncertain weight coupling topological graph using distributed adaptive iterative learning control
会议论文
Guangzhou, China, July 27, 2019 - July 30, 2019
作者:
Yang, Nana
;
Li, Junmin
;
Chen, Jiaxi
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  |  
浏览/下载:2/0
  |  
提交时间:2020/11/15
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving
期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
作者:
Dong Li
;
Dongbin Zhao
;
Qichao Zhang
;
Yaran Chen
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  |  
浏览/下载:50/0
  |  
提交时间:2019/04/25
Deep Learning
Autonomous Driving
Visual Control
Reinforcement Learning
Deep Learning
Autonomous Driving
Visual Control
Reinforcement Learning
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning
期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
作者:
Kun Shao
;
Yuanheng Zhu
;
Dongbin Zhao
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  |  
浏览/下载:69/0
  |  
提交时间:2019/04/22
Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach
会议论文
Budapest, Hungary, July 14-19, 2019
作者:
Xiong Tianyi
;
Pu Zhiqiang
;
Yi Jianqiang
;
Sui Zezhi
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2019/05/07
Formation Control
Minimal Learning Parameter
Multi-agent System
Neural Network
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game
会议论文
Macao, China, August 10-16, 2019
作者:
Peixi Peng
;
Junliang Xing
;
Lili Cao
;
Lisen Mu
;
Chang Huang
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2019/10/10
Multi-agent Learning
Deep Decentralized Policy Network
Real-time Combat Game
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