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浏览/检索结果:
共19条,第1-10条
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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Wei, Qinglai
;
Yan, Yutian
;
Zhang, Jie
;
Xiao, Jun
;
Wang, Cong
收藏
  |  
浏览/下载:217/0
  |  
提交时间:2023/01/09
Automated guided vehicle (AGV) dispatching
deep learning
reinforcement learning (RL)
self-attention
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:222/0
  |  
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
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
收藏
  |  
浏览/下载:210/0
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
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:319/46
  |  
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
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:
Chen, Yaran
;
Li, Haoran
;
Gao, Ruiyuan
;
Zhao, Dongbin
Adobe PDF(2082Kb)
  |  
收藏
  |  
浏览/下载:247/52
  |  
提交时间:2022/03/17
3-D object detection
generalized Intersection of Union (GIoU) loss
segmentation
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
  |  
收藏
  |  
浏览/下载:247/26
  |  
提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:
Wang RQ(王瑞琪)
;
Zhang XY(张煦尧)
;
Liu CL(刘成林)
Adobe PDF(1403Kb)
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  |  
浏览/下载:244/50
  |  
提交时间:2022/01/27
domain-agnostic few-shot recognition
image classification
meta-learning
prototypical learning
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:192/1
  |  
提交时间:2022/01/27
Maximum likelihood estimation (MLE)
Nonlinear systems
Optimal control
Poisson process
Spike train
Spiking Adaptive dynamic programming(SADP)
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Wang, Yu
;
Tang, Chong
;
Wang, Shuo
;
Cheng, Long
;
Wang, Rui
;
Tan, Min
;
Hou, Zengguang
收藏
  |  
浏览/下载:217/0
  |  
提交时间:2022/01/27
Reinforcement learning
Target tracking
Robots
Sports
Aerospace electronics
Mobile robots
Underwater vehicles
Biomimetic underwater vehicle (BUV)
reinforcement learning
target tracking control
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:
Zixiang, Ding
;
Yaran, Chen
;
Nannan, Li
;
Dongbin, Zhao
;
C.L.Philip Chen,
Adobe PDF(764Kb)
  |  
收藏
  |  
浏览/下载:204/31
  |  
提交时间:2022/01/07
broad neural architecture search, stacked broad convolutional neural network, knowledge embedding search, image classification.