×
验证码:
换一张
忘记密码?
记住我
切换中国科技网通行证登录
×
切换中国科技网通行证登录
登录
中文版
|
English
中国科学院自动化研究所机构知识库
Knowledge Commons of Institute of Automation,CAS
登录
注册
ALL
ORCID
题名
作者
导师
学科领域
关键词
资助项目
文献类型
出处
会议名称
收录类别
出版者
发表日期
存缴日期
学科门类
学习讨论厅
图片搜索
粘贴图片网址
首页
研究单元&专题
作者
文献类型
知识图谱
新闻&公告
在结果中检索
研究单元&专题
多模态人工智能系统全... [4]
复杂系统认知与决策实... [2]
离退休人员 [1]
复杂系统管理与控制国... [1]
作者
魏庆来 [3]
朱圆恒 [2]
董娜 [1]
杨雄 [1]
刘禹 [1]
刘振 [1]
更多...
文献类型
期刊论文 [7]
发表日期
2024 [1]
2022 [1]
2021 [2]
2020 [2]
2019 [1]
语种
英语 [7]
出处
IEEE TRANS... [7]
资助项目
National N... [2]
National N... [2]
National N... [2]
National N... [2]
Early Care... [1]
European U... [1]
更多...
收录类别
SCI [7]
导师
资助机构
National N... [7]
National K... [2]
Early Care... [1]
European U... [1]
External C... [1]
Fundamenta... [1]
更多...
×
知识图谱
CASIA OpenIR
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共7条,第1-7条
帮助
限定条件
收录类别:SCI
出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
语种:英语
资助机构:National Natural Science Foundation of China
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
期刊影响因子升序
期刊影响因子降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
作者升序
作者降序
WOS被引频次升序
WOS被引频次降序
题名升序
题名降序
Boosting On-Policy Actor-Critic With Shallow Updates in Critic
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 10
作者:
Li, Luntong
;
Zhu, Yuanheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/07/03
Artificial neural networks
Vectors
Task analysis
Training
Representation learning
Approximation algorithms
Optimization
Actor-critic
deep reinforcement learning (DRL)
proximal policy optimization (PPO)
shallow reinforcement learning (SRL)
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:351/53
  |  
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
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Wei, Qinglai
;
Han, Liyuan
;
Zhang, Tielin
Adobe PDF(2904Kb)
  |  
收藏
  |  
浏览/下载:230/11
  |  
提交时间:2022/01/27
Maximum likelihood estimation (MLE)
Nonlinear systems
Optimal control
Poisson process
Spike train
Spiking Adaptive dynamic programming(SADP)
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Yang, Xiong
;
Zhu, Yuanheng
;
Dong, Na
;
Wei, Qinglai
Adobe PDF(1578Kb)
  |  
收藏
  |  
浏览/下载:229/12
  |  
提交时间:2022/01/27
Adaptive critic designs (ACDs)
adaptive dynamic programming (ADP)
decentralized event-driven control
input constraint
reinforcement learning (RL)
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
Adobe PDF(4019Kb)
  |  
收藏
  |  
浏览/下载:373/85
  |  
提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4330-4340
作者:
Zhao, Bo
;
Liu, Derong
;
Luo, Chaomin
收藏
  |  
浏览/下载:230/0
  |  
提交时间:2021/01/07
Nonlinear systems
Optimal control
Artificial neural networks
Actuators
Observers
Feedforward systems
Adaptive dynamic programming (ADP)
neural networks (NNs)
optimal control
reinforcement learning (RL)
uncertain input constraints
unknown nonlinear systems
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:
Liu, Yan-Jun
;
Li, Shu
;
Tong, Shaocheng
;
Chen, C. L. Philip
收藏
  |  
浏览/下载:337/0
  |  
提交时间:2019/07/12
Discrete-time systems
neural networks (NNs)
nonlinear systems
optimal control
reinforcement learning