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浏览/检索结果:
共18条,第1-10条
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2469Kb)
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浏览/下载:60/2
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
PWSNAS: Powering Weight Sharing NAS With General Search Space Shrinking Framework
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Hu, Yiming
;
Wang, Xingang
;
Gu, Qingyi
收藏
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浏览/下载:232/0
  |  
提交时间:2022/06/10
Computer architecture
Training
Optimization
Extraterrestrial measurements
Estimation
Computational modeling
Search problems
Metric
neural architecture search (NAS)
search space shrinking
weight sharing
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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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
Bioinspired Gain-Modulated Recurrent Neural Network for Controlling Musculoskeletal Robot
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 16
作者:
Zhong, Shanlin
;
Zhou, Junjie
;
Qiao, Hong
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浏览/下载:247/0
  |  
提交时间:2022/01/27
Robots
Modulation
Robot kinematics
Neurons
Brain modeling
Recurrent neural networks
Encoding
Biologically inspired control
gain modulation
motor primitives
musculoskeletal robot
recurrent neural network (RNN)
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:
Ruan, Xiaofeng
;
Liu, Yufan
;
Yuan, Chunfeng
;
Li, Bing
;
Hu, Weiming
;
Li, Yangxi
;
Maybank, Stephen
Adobe PDF(3625Kb)
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浏览/下载:346/46
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:
Zhang, Jiazheng
;
Jin, Long
;
Cheng, Long
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浏览/下载:283/0
  |  
提交时间:2021/03/02
Optimization
Neural networks
Task analysis
Nash equilibrium
Manipulator dynamics
Distributed control
game theory
manipulability optimization
neural network
redundancy resolution
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:
Chen, Zhiqiang
;
Xu, Ting-Bing
;
Du, Changde
;
Liu, Cheng-Lin
;
He, Huiguang
Adobe PDF(4352Kb)
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浏览/下载:308/68
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提交时间:2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3555-3569
作者:
Qi, Yimeng
;
Jin, Long
;
Wang, Yaonan
;
Xiao, Lin
;
Zhang, Jiliang
收藏
  |  
浏览/下载:216/0
  |  
提交时间:2021/01/07
Computational modeling
Convergence
Mathematical model
Recurrent neural networks
Perturbation methods
Robots
Numerical models
Complex domain
discrete-time neural dynamics (DTND)
quasi-Newton Broyden-Fletcher-Goldfarb-Shanno (BFGS)
quadratic programming (QP)
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:
Li, Haoran
;
Zhang, Qichao
;
Zhao, Dongbin
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Adobe PDF(4274Kb)
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浏览/下载:400/122
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提交时间:2020/08/03
Robot sensing systems
Navigation
Entropy
Neural networks
Task analysis
Planning
Automatic exploration
deep reinforcement learning (DRL)
optimal decision
partial observation
Dynamic Collaborative Tracking
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
作者:
Zhu, Guibo
;
Zhang, Zhaoxiang
;
Wang, Jinqiao
;
Wu, Yi
;
Lu, Hanqing
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Adobe PDF(2492Kb)
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浏览/下载:526/158
  |  
提交时间:2018/10/11
Correlation filter (CF)
distracter suppression
online learning
visual tracking